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2
.gitignore
vendored
2
.gitignore
vendored
@@ -1 +1,3 @@
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data/
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.DS_Store
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.Rproj.user
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13
Electrocardiogram.Rproj
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13
Electrocardiogram.Rproj
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Version: 1.0
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RestoreWorkspace: Default
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SaveWorkspace: Default
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AlwaysSaveHistory: Default
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EnableCodeIndexing: Yes
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UseSpacesForTab: Yes
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NumSpacesForTab: 2
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Encoding: UTF-8
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RnwWeave: Sweave
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LaTeX: pdfLaTeX
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97
README.md
97
README.md
@@ -1,10 +1,10 @@
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# Electrocardiogram
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We are dealing with an exteremly imbalance dataset related to electrocardiogram signals that contain binary class labels as good and bad signals.
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We are dealing with an exteremly imbalance dataset related to electrocardiogram signals that contain binary classes and labeled as good(0) and bad(1) signals.
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### STEP 1: Fill missing values
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## STEP 1: Fill missing values
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All the columns in our data contain missing values a range from 25 to 70. By using `from sklearn.impute import KNNImputer`
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All the columns in our data contain missing values a range from 25 to 70. By using `from sklearn.impute import KNNImputer` we fill all of them using 5 of the nearst neighbors of that missing value.
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```
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imputer = KNNImputer(n_neighbors=5)
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@@ -16,7 +16,7 @@ We are dealing with an exteremly imbalance dataset related to electrocardiogram
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return data_frame_imputed
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```
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### STEP 2: Scaling
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## STEP 2: Scaling
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We used `from sklearn.preprocessing import RobustScaler` to handle scaling.
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@@ -28,7 +28,7 @@ We are dealing with an exteremly imbalance dataset related to electrocardiogram
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data_frame_scaled["label"] = labels.values
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```
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### STEP 3: k-fold cross validation + stratify classes + balancing training data
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## STEP 3: k-fold cross validation + stratify classes + balancing training data
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First of all we split the dataset into 2 parts train (85%) and test (15%). For making sure that majority class and imbalanced class
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distributed fairly we passed `stratify=y`
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@@ -78,3 +78,90 @@ We are dealing with an exteremly imbalance dataset related to electrocardiogram
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model.fit(X_train, y_train)
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```
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## STEP 4: Train different models to find the best possible approach
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#### What we are looking for:
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#### Dangerous: Sick → predicted healthy : high recall score or low FN
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#### Costly: Healthy → predicted sick : high precision score or low FP
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## STEP 5:
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Current results taken KMEANS_SMOTE:
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| model | stage | accuracy | f1_macro | f2_macro | recall_macro | precision_macro | f1_class0 | f1_class1 | f2_class0 | f2_class1 | recall_class0 | recall_class1 | precision_class0 | precision_class1 | TP | TN | FP | FN |
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|-----------------------|-------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|-----|-------|----|----|
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| CatBoost_balanced_knn10 | train | 0.9843784049402589 | 0.8696686267343388 | 0.8824472728294012 | 0.8916952848998795 | 0.8508242781484853 | 0.9919396338322237 | 0.7473976196364541 | 0.9908276010500254 | 0.7740669446087769 | 0.9900881006639566 | 0.7933024691358025 | 0.9938004847319636 | 0.7078480715650071 | 789 | 26898 | 140 | 19 |
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| CatBoost_balanced_knn10 | test | 0.9802604802604803 | 0.8348421298822796 | 0.8461546793313885 | 0.8541662696976049 | 0.8176680164072361 | 0.9898162729658793 | 0.6798679867986799 | 0.988757446094471 | 0.703551912568306 | 0.9880528191154894 | 0.7202797202797203 | 0.991586032814472 | 0.64375 | 103 | 4714 | 57 | 40 |
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| LGBM_KMEANS_SMOTE_knn10 | train | 0.9883286128479746 | 0.8784419356817057 | 0.8436008106620193 | 0.8240767336379762 | 0.9582821430574249 | 0.9940169232360254 | 0.7628669481273861 | 0.9966698960611392 | 0.6905317252628993 | 0.9984466771524954 | 0.6497067901234568 | 0.9896275269971563 | 0.9269367591176938 | 775 | 27036 | 2 | 33 |
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| LGBM_KMEANS_SMOTE_knn10 | test | 0.9865689865689866 | 0.8543196878009516 | 0.8121616449258658 | 0.7895809912158687 | 0.9600745182511498 | 0.9931221342225928 | 0.7155172413793104 | 0.9964866786565728 | 0.6278366111951589 | 0.9987424020121568 | 0.5804195804195804 | 0.9875647668393782 | 0.9325842696629213 | 83 | 4765 | 6 | 60 |
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## Tuning LightGBM and CatBoost
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As it is written in `models/catboost_model.py` tune function for this model we used the following parameters:
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```
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scaling_methods = [
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"standard_scaling",
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"robust_scaling",
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"minmax_scaling",
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"yeo_johnson",
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]
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sampling_methods = [
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"KMeansSMOTE",
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"class_weight",
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]
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learning_rate_list = [0.03, 0.05, 0.1]
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depth_list = [6, 8]
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l2_leaf_reg_list = [1, 3]
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subsample_list = [0.8, 1.0]
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k_neighbors_list = [10]
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kmeans_estimator_list = [5]
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```
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Also, for `models/lightgbm_model.py` tune function we used the folowing parameters:
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```
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scaling_methods = [
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"standard_scaling",
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"robust_scaling",
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"minmax_scaling",
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"yeo_johnson",
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]
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sampling_methods = [
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"KMeansSMOTE",
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"class_weight",
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]
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boosting_type_list = ["gbdt", "dart"]
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learning_rate_list = [0.03, 0.05, 0.1]
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number_of_leaves_list = [100]
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l2_regularization_lambda_list = [0.1, 0.5]
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l1_regularization_alpha_list = [0.1, 0.5]
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tree_subsample_tree_list = [0.8, 1.0]
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subsample_list = [0.8, 1.0]
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kmeans_smote_k_neighbors_list = [10]
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kmeans_smote_n_clusters_list = [5]
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```
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After tuning we train both models based on their best parameters and compare on an imbalanced test data.
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here is the comparison results:
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||||
| model | accuracy | f1_macro | f2_macro | recall_macro | precision_macro | f1_class0 | f2_class0 | recall_class0 | precision_class0 | f1_class1 | f2_class1 | recall_class1 | precision_class1 | TP | TN | FP | FN |
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||||
|----------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|----|------|----|----|
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| catboost | 0.9814814814814815 | 0.8195693865042805 | 0.8013174756506312 | 0.7903526990720451 | 0.8559205703525894 | 0.9904901243599122 | 0.9921698350221925 | 0.9932928107315029 | 0.9877032096706961 | 0.6486486486486487 | 0.6104651162790697 | 0.5874125874125874 | 0.7241379310344828 | 84 | 4739 | 32 | 59 |
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||||
| lightgbm | 0.9849409849409849 | 0.8469442386692707 | 0.8185917013944679 | 0.8023094072140393 | 0.9084632979829487 | 0.9922755741127348 | 0.9946427824048885 | 0.9962272060364703 | 0.9883551673944687 | 0.7016129032258065 | 0.6425406203840472 | 0.6083916083916084 | 0.8285714285714286 | 87 | 4753 | 18 | 56 |
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|
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## next steps:
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```
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✅ 1. Stratified K-fold only apply on train.
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✅ 2. train LGBM model using KMEANS_SMOTE with knn k_neighbors=10 (fine-tune remained)
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✅ 3. train Cat_boost using KMEANS_SMOTE with knn k_neighbors=10 (fine-tune remained)
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🗹 4. implement proposed methods of this article : https://1drv.ms/b/c/ab2a38fe5c318317/IQBEDsSFcYj6R6AMtOnh0X6DAZUlFqAYq19WT8nTeXomFwg
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||||
🗹 5. compare proposed model with SMOTE vs oversampling balancing method
|
||||
```
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||||
|
||||
0
__init__.py
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__init__.py
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__pycache__/train.cpython-312.pyc
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__pycache__/train.cpython-312.pyc
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__pycache__/utils.cpython-312.pyc
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__pycache__/utils.cpython-312.pyc
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cat_boost_tuning_results.csv
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cat_boost_tuning_results.csv
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||||
model,scaling_method,sampling_method,learning_rate,depth,l2_leaf_reg,subsample,k_neighbors,kmeans_estimator,accuracy,f1_macro,f2_macro,recall_macro,precision_macro,f1_class0,f2_class0,recall_class0,precision_class0,f1_class1,f2_class1,recall_class1,precision_class1,TP,TN,FP,FN
|
||||
cat_boost,standard_scaling,KMeansSMOTE,0.03,6,1,0.8,10,5,0.986102098272271,0.8464211332649116,0.8023135099790324,0.7791138815061434,0.96203288693187,0.9928862049080953,0.9964579165143898,0.9988534818988754,0.9869903534333956,0.699956061621728,0.6081691034436749,0.5593742811134115,0.9370754204303445,90.4,5401.4,6.2,71.2
|
||||
cat_boost,standard_scaling,KMeansSMOTE,0.03,6,1,1.0,10,5,0.9861020918246783,0.8469134138715712,0.803336559335327,0.7803076365169013,0.9596527280526976,0.9928857095450654,0.9964136002318558,0.9987795242415322,0.9870612190530006,0.7009411181980768,0.6102595184387981,0.5618357487922705,0.9322442370523942,90.8,5401.0,6.6,70.8
|
||||
cat_boost,standard_scaling,KMeansSMOTE,0.03,6,3,0.8,10,5,0.9859943590013067,0.8455895471055779,0.8020371696150306,0.7790660796768216,0.9589476503888168,0.9928306747692883,0.9963693077576995,0.9987425419930116,0.9869888604171744,0.6983484194418677,0.6077050314723615,0.5593896173606318,0.9309064403604594,90.4,5400.8,6.8,71.2
|
||||
cat_boost,standard_scaling,KMeansSMOTE,0.03,6,3,1.0,10,5,0.9861020982722708,0.8469259490456327,0.8033344354877547,0.7803038024550962,0.9598048908417075,0.9928856855497828,0.9964135841257609,0.998779524241532,0.9870612237987226,0.700966212541483,0.610255286849749,0.5618280806686603,0.9325485578846923,90.8,5401.0,6.6,70.8
|
||||
cat_boost,standard_scaling,KMeansSMOTE,0.03,8,1,0.8,10,5,0.9863893900996572,0.8500036099146012,0.8060615973468563,0.7828660730636322,0.964231805061976,0.9930328042996537,0.9965611507017205,0.9989274532356148,0.9872078427726576,0.7069744155295486,0.6155620439919921,0.5668046928916495,0.9412557673512941,91.6,5401.8,5.8,70.0
|
||||
cat_boost,standard_scaling,KMeansSMOTE,0.03,8,1,1.0,10,5,0.986245744185964,0.8476860128088646,0.8031711577107631,0.7797828081875858,0.9646225545136377,0.9929600993661,0.996553947866289,0.9989644354841356,0.9870279994042248,0.7024119262516294,0.6097883675552371,0.5606011808910359,0.9422171096230502,90.6,5402.0,5.6,71.0
|
||||
cat_boost,standard_scaling,KMeansSMOTE,0.03,8,3,0.8,10,5,0.9863893900996572,0.8495220361155831,0.8050537352020507,0.7816569886453523,0.9659996628309043,0.9930333414905947,0.9966055373221451,0.9990014245723546,0.9871366794500623,0.7060107307405714,0.6135019330819563,0.5643125527183498,0.944862646211746,91.2,5402.2,5.4,70.4
|
||||
cat_boost,standard_scaling,KMeansSMOTE,0.03,8,3,1.0,10,5,0.9863175639190143,0.8491915868997488,0.8053628818591857,0.7822264639269495,0.9631146491255429,0.9929960598572507,0.9965242639440666,0.9988904709870944,0.9871713330975938,0.7053871139422471,0.6142014997743052,0.5655624568668046,0.9390579651534919,91.4,5401.6,6.0,70.2
|
||||
cat_boost,standard_scaling,KMeansSMOTE,0.05,6,1,0.8,10,5,0.9866407688367221,0.8556837421302268,0.8150894007705028,0.7931979762531072,0.9563290102657941,0.99315811122897,0.9963906992292945,0.9985575965519166,0.987817299311019,0.7182093730314834,0.633788102311711,0.5878383559542979,0.9248407212205692,95.0,5399.8,7.8,66.6
|
||||
cat_boost,standard_scaling,KMeansSMOTE,0.05,6,1,1.0,10,5,0.9867484823173163,0.8559996996083085,0.8143727987698804,0.7920367073435457,0.960300275384561,0.9932142818892882,0.9965238018250784,0.9987425351533131,0.9877474074893051,0.7187851173273286,0.6322217957146827,0.585330879533778,0.9328531432798167,94.6,5400.8,6.8,67.0
|
||||
cat_boost,standard_scaling,KMeansSMOTE,0.05,6,3,0.8,10,5,0.9864612227278926,0.8533450421041462,0.812224517306803,0.7901038917962598,0.9555993374147942,0.9930666965431355,0.9963539512475978,0.9985576033916148,0.9876360004981617,0.7136233876651569,0.6280950833660081,0.5816501802009049,0.9235626743314267,94.0,5399.8,7.8,67.6
|
||||
cat_boost,standard_scaling,KMeansSMOTE,0.05,6,3,1.0,10,5,0.9867844083028228,0.8573006791580667,0.8164907232214175,0.7944656991807557,0.958193575687438,0.9932316312539872,0.9964645201920334,0.9986315747283545,0.9878901498488986,0.7213697270621464,0.6365169262508016,0.5902998236331569,0.9284970015259774,95.4,5400.2,7.4,66.2
|
||||
cat_boost,standard_scaling,KMeansSMOTE,0.05,8,1,0.8,10,5,0.98696397375443,0.8588520652710141,0.8174395366148681,0.7951607816902195,0.9620975495653582,0.9933240141817763,0.9965900576766396,0.9987795037224373,0.9879284071915372,0.7243801163602518,0.6382890155530964,0.5915420596580018,0.9362666919391796,95.6,5401.0,6.6,66.0
|
||||
cat_boost,standard_scaling,KMeansSMOTE,0.05,8,1,1.0,10,5,0.9869639802020224,0.8589256487158436,0.8174769428455269,0.7951646191718738,0.962012871399407,0.9933239605530348,0.996590061243829,0.9987795105621355,0.9879281234018163,0.7245273368786525,0.6383638244472246,0.5915497277816119,0.9360976193969981,95.6,5401.0,6.6,66.0
|
||||
cat_boost,standard_scaling,KMeansSMOTE,0.05,8,3,0.8,10,5,0.9866407494939446,0.8547901540994214,0.8131230269576963,0.7907913130218117,0.9595074852665129,0.993159153169854,0.9964795006647693,0.9987055460650941,0.9876746003357422,0.7164211550289888,0.6297665532506237,0.5828770799785292,0.9313403701972834,94.2,5400.6,7.0,67.4
|
||||
cat_boost,standard_scaling,KMeansSMOTE,0.05,8,3,1.0,10,5,0.9868562344834656,0.8578940042542003,0.816713699641437,0.7945065189109306,0.9597825930249886,0.9932686639522277,0.996523643388767,0.9987055460650941,0.9878908442470614,0.722519344556173,0.6369037558941069,0.5903074917567671,0.9316743418029161,95.4,5400.6,7.0,66.2
|
||||
cat_boost,standard_scaling,KMeansSMOTE,0.1,6,1,0.8,10,5,0.9870357548019252,0.8623889925070234,0.8248272214187775,0.8041988095438739,0.9520721366121677,0.9933574241810342,0.9963161878839678,0.9982987002931768,0.9884657552032878,0.7314205608330123,0.6533382549535874,0.610098918794571,0.9156785180210474,98.6,5398.4,9.2,63.0
|
||||
cat_boost,standard_scaling,KMeansSMOTE,0.1,6,1,1.0,10,5,0.9871435005204819,0.8625998575702166,0.8236953790986726,0.8024579181169808,0.956632062491588,0.9934137922982996,0.9964715073780287,0.9985206211430941,0.9883597026951225,0.7317859228421337,0.6509192508193165,0.6063952150908672,0.9249044222880534,98.0,5399.6,8.0,63.6
|
||||
cat_boost,standard_scaling,KMeansSMOTE,0.1,6,3,0.8,10,5,0.9873948857051393,0.8667458053044029,0.829664336892599,0.8091970780277107,0.954337080418209,0.9935407771781357,0.9964341832568916,0.9983726853093131,0.988756309486377,0.7399508334306704,0.6628944905283063,0.6200214707461085,0.919917851350041,100.2,5398.8,8.8,61.4
|
||||
cat_boost,standard_scaling,KMeansSMOTE,0.1,6,3,1.0,10,5,0.9872153395963098,0.8644394608691248,0.8267940039700823,0.8060953220274041,0.9540443270536809,0.9934492769479496,0.9963973749809257,0.9983726853093129,0.9885750243912155,0.7354296447903,0.6571906329592391,0.613817958745495,0.9195136297161464,99.2,5398.8,8.8,62.4
|
||||
cat_boost,standard_scaling,KMeansSMOTE,0.1,8,1,0.8,10,5,0.9868203084979591,0.8599023912397564,0.8223149533336459,0.8016926983325823,0.9497489390690376,0.9932473069538978,0.9962276995711379,0.9982247494755321,0.9883200574357269,0.7265574755256153,0.6484022070961538,0.6051606471896328,0.9111778207023482,97.8,5398.0,9.6,63.8
|
||||
cat_boost,standard_scaling,KMeansSMOTE,0.1,8,1,1.0,10,5,0.9870357999350727,0.8618063547824375,0.8234090356320497,0.8023986072625455,0.9541161878278945,0.9933581830944259,0.9963828328350818,0.9984096675578338,0.988358275605339,0.7302545264704492,0.6504352384290177,0.6063875469672572,0.91987410005045,98.0,5399.0,8.6,63.6
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||||
cat_boost,standard_scaling,KMeansSMOTE,0.1,8,3,0.8,10,5,0.9870716936826167,0.8625515302503806,0.8245004500539862,0.8036300100271925,0.953530205956364,0.9933761441894067,0.9963679530945301,0.9983726647902182,0.988430069482742,0.7317269163113542,0.6526329470134422,0.6088873552641669,0.9186303424299856,98.4,5398.8,8.8,63.2
|
||||
cat_boost,standard_scaling,KMeansSMOTE,0.1,8,3,1.0,10,5,0.9869998868447514,0.8607931667292659,0.8214250075291298,0.7999887788946625,0.9563493266635918,0.9933405747125796,0.9964420595578707,0.9985206143033958,0.9882145666495015,0.7282457587459524,0.646407955500389,0.6014569434859289,0.9244840866776822,97.2,5399.6,8.0,64.4
|
||||
cat_boost,standard_scaling,class_weight,0.03,6,1,0.8,10,5,0.986102098272271,0.8464211332649116,0.8023135099790324,0.7791138815061434,0.96203288693187,0.9928862049080953,0.9964579165143898,0.9988534818988754,0.9869903534333956,0.699956061621728,0.6081691034436749,0.5593742811134115,0.9370754204303445,90.4,5401.4,6.2,71.2
|
||||
cat_boost,standard_scaling,class_weight,0.03,6,1,1.0,10,5,0.9861020918246783,0.8469134138715712,0.803336559335327,0.7803076365169013,0.9596527280526976,0.9928857095450654,0.9964136002318558,0.9987795242415322,0.9870612190530006,0.7009411181980768,0.6102595184387981,0.5618357487922705,0.9322442370523942,90.8,5401.0,6.6,70.8
|
||||
cat_boost,standard_scaling,class_weight,0.03,6,3,0.8,10,5,0.9859943590013067,0.8455895471055779,0.8020371696150306,0.7790660796768216,0.9589476503888168,0.9928306747692883,0.9963693077576995,0.9987425419930116,0.9869888604171744,0.6983484194418677,0.6077050314723615,0.5593896173606318,0.9309064403604594,90.4,5400.8,6.8,71.2
|
||||
cat_boost,standard_scaling,class_weight,0.03,6,3,1.0,10,5,0.9861020982722708,0.8469259490456327,0.8033344354877547,0.7803038024550962,0.9598048908417075,0.9928856855497828,0.9964135841257609,0.998779524241532,0.9870612237987226,0.700966212541483,0.610255286849749,0.5618280806686603,0.9325485578846923,90.8,5401.0,6.6,70.8
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||||
cat_boost,standard_scaling,class_weight,0.03,8,1,0.8,10,5,0.9863893900996572,0.8500036099146012,0.8060615973468563,0.7828660730636322,0.964231805061976,0.9930328042996537,0.9965611507017205,0.9989274532356148,0.9872078427726576,0.7069744155295486,0.6155620439919921,0.5668046928916495,0.9412557673512941,91.6,5401.8,5.8,70.0
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||||
cat_boost,standard_scaling,class_weight,0.03,8,1,1.0,10,5,0.986245744185964,0.8476860128088646,0.8031711577107631,0.7797828081875858,0.9646225545136377,0.9929600993661,0.996553947866289,0.9989644354841356,0.9870279994042248,0.7024119262516294,0.6097883675552371,0.5606011808910359,0.9422171096230502,90.6,5402.0,5.6,71.0
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||||
cat_boost,standard_scaling,class_weight,0.03,8,3,0.8,10,5,0.9863893900996572,0.8495220361155831,0.8050537352020507,0.7816569886453523,0.9659996628309043,0.9930333414905947,0.9966055373221451,0.9990014245723546,0.9871366794500623,0.7060107307405714,0.6135019330819563,0.5643125527183498,0.944862646211746,91.2,5402.2,5.4,70.4
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||||
cat_boost,standard_scaling,class_weight,0.03,8,3,1.0,10,5,0.9863175639190143,0.8491915868997488,0.8053628818591857,0.7822264639269495,0.9631146491255429,0.9929960598572507,0.9965242639440666,0.9988904709870944,0.9871713330975938,0.7053871139422471,0.6142014997743052,0.5655624568668046,0.9390579651534919,91.4,5401.6,6.0,70.2
|
||||
cat_boost,standard_scaling,class_weight,0.05,6,1,0.8,10,5,0.9866407688367221,0.8556837421302268,0.8150894007705028,0.7931979762531072,0.9563290102657941,0.99315811122897,0.9963906992292945,0.9985575965519166,0.987817299311019,0.7182093730314834,0.633788102311711,0.5878383559542979,0.9248407212205692,95.0,5399.8,7.8,66.6
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||||
cat_boost,standard_scaling,class_weight,0.05,6,1,1.0,10,5,0.9867484823173163,0.8559996996083085,0.8143727987698804,0.7920367073435457,0.960300275384561,0.9932142818892882,0.9965238018250784,0.9987425351533131,0.9877474074893051,0.7187851173273286,0.6322217957146827,0.585330879533778,0.9328531432798167,94.6,5400.8,6.8,67.0
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||||
cat_boost,standard_scaling,class_weight,0.05,6,3,0.8,10,5,0.9864612227278926,0.8533450421041462,0.812224517306803,0.7901038917962598,0.9555993374147942,0.9930666965431355,0.9963539512475978,0.9985576033916148,0.9876360004981617,0.7136233876651569,0.6280950833660081,0.5816501802009049,0.9235626743314267,94.0,5399.8,7.8,67.6
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||||
cat_boost,standard_scaling,class_weight,0.05,6,3,1.0,10,5,0.9867844083028228,0.8573006791580667,0.8164907232214175,0.7944656991807557,0.958193575687438,0.9932316312539872,0.9964645201920334,0.9986315747283545,0.9878901498488986,0.7213697270621464,0.6365169262508016,0.5902998236331569,0.9284970015259774,95.4,5400.2,7.4,66.2
|
||||
cat_boost,standard_scaling,class_weight,0.05,8,1,0.8,10,5,0.98696397375443,0.8588520652710141,0.8174395366148681,0.7951607816902195,0.9620975495653582,0.9933240141817763,0.9965900576766396,0.9987795037224373,0.9879284071915372,0.7243801163602518,0.6382890155530964,0.5915420596580018,0.9362666919391796,95.6,5401.0,6.6,66.0
|
||||
cat_boost,standard_scaling,class_weight,0.05,8,1,1.0,10,5,0.9869639802020224,0.8589256487158436,0.8174769428455269,0.7951646191718738,0.962012871399407,0.9933239605530348,0.996590061243829,0.9987795105621355,0.9879281234018163,0.7245273368786525,0.6383638244472246,0.5915497277816119,0.9360976193969981,95.6,5401.0,6.6,66.0
|
||||
cat_boost,standard_scaling,class_weight,0.05,8,3,0.8,10,5,0.9866407494939446,0.8547901540994214,0.8131230269576963,0.7907913130218117,0.9595074852665129,0.993159153169854,0.9964795006647693,0.9987055460650941,0.9876746003357422,0.7164211550289888,0.6297665532506237,0.5828770799785292,0.9313403701972834,94.2,5400.6,7.0,67.4
|
||||
cat_boost,standard_scaling,class_weight,0.05,8,3,1.0,10,5,0.9868562344834656,0.8578940042542003,0.816713699641437,0.7945065189109306,0.9597825930249886,0.9932686639522277,0.996523643388767,0.9987055460650941,0.9878908442470614,0.722519344556173,0.6369037558941069,0.5903074917567671,0.9316743418029161,95.4,5400.6,7.0,66.2
|
||||
cat_boost,standard_scaling,class_weight,0.1,6,1,0.8,10,5,0.9870357548019252,0.8623889925070234,0.8248272214187775,0.8041988095438739,0.9520721366121677,0.9933574241810342,0.9963161878839678,0.9982987002931768,0.9884657552032878,0.7314205608330123,0.6533382549535874,0.610098918794571,0.9156785180210474,98.6,5398.4,9.2,63.0
|
||||
cat_boost,standard_scaling,class_weight,0.1,6,1,1.0,10,5,0.9871435005204819,0.8625998575702166,0.8236953790986726,0.8024579181169808,0.956632062491588,0.9934137922982996,0.9964715073780287,0.9985206211430941,0.9883597026951225,0.7317859228421337,0.6509192508193165,0.6063952150908672,0.9249044222880534,98.0,5399.6,8.0,63.6
|
||||
cat_boost,standard_scaling,class_weight,0.1,6,3,0.8,10,5,0.9873948857051393,0.8667458053044029,0.829664336892599,0.8091970780277107,0.954337080418209,0.9935407771781357,0.9964341832568916,0.9983726853093131,0.988756309486377,0.7399508334306704,0.6628944905283063,0.6200214707461085,0.919917851350041,100.2,5398.8,8.8,61.4
|
||||
cat_boost,standard_scaling,class_weight,0.1,6,3,1.0,10,5,0.9872153395963098,0.8644394608691248,0.8267940039700823,0.8060953220274041,0.9540443270536809,0.9934492769479496,0.9963973749809257,0.9983726853093129,0.9885750243912155,0.7354296447903,0.6571906329592391,0.613817958745495,0.9195136297161464,99.2,5398.8,8.8,62.4
|
||||
cat_boost,standard_scaling,class_weight,0.1,8,1,0.8,10,5,0.9868203084979591,0.8599023912397564,0.8223149533336459,0.8016926983325823,0.9497489390690376,0.9932473069538978,0.9962276995711379,0.9982247494755321,0.9883200574357269,0.7265574755256153,0.6484022070961538,0.6051606471896328,0.9111778207023482,97.8,5398.0,9.6,63.8
|
||||
cat_boost,standard_scaling,class_weight,0.1,8,1,1.0,10,5,0.9870357999350727,0.8618063547824375,0.8234090356320497,0.8023986072625455,0.9541161878278945,0.9933581830944259,0.9963828328350818,0.9984096675578338,0.988358275605339,0.7302545264704492,0.6504352384290177,0.6063875469672572,0.91987410005045,98.0,5399.0,8.6,63.6
|
||||
cat_boost,standard_scaling,class_weight,0.1,8,3,0.8,10,5,0.9870716936826167,0.8625515302503806,0.8245004500539862,0.8036300100271925,0.953530205956364,0.9933761441894067,0.9963679530945301,0.9983726647902182,0.988430069482742,0.7317269163113542,0.6526329470134422,0.6088873552641669,0.9186303424299856,98.4,5398.8,8.8,63.2
|
||||
cat_boost,standard_scaling,class_weight,0.1,8,3,1.0,10,5,0.9869998868447514,0.8607931667292659,0.8214250075291298,0.7999887788946625,0.9563493266635918,0.9933405747125796,0.9964420595578707,0.9985206143033958,0.9882145666495015,0.7282457587459524,0.646407955500389,0.6014569434859289,0.9244840866776822,97.2,5399.6,8.0,64.4
|
||||
cat_boost,robust_scaling,KMeansSMOTE,0.03,6,1,0.8,10,5,0.986102098272271,0.8464211332649116,0.8023135099790324,0.7791138815061434,0.96203288693187,0.9928862049080953,0.9964579165143898,0.9988534818988754,0.9869903534333956,0.699956061621728,0.6081691034436749,0.5593742811134115,0.9370754204303445,90.4,5401.4,6.2,71.2
|
||||
cat_boost,robust_scaling,KMeansSMOTE,0.03,6,1,1.0,10,5,0.9861020918246783,0.8469134138715712,0.803336559335327,0.7803076365169013,0.9596527280526976,0.9928857095450654,0.9964136002318558,0.9987795242415322,0.9870612190530006,0.7009411181980768,0.6102595184387981,0.5618357487922705,0.9322442370523942,90.8,5401.0,6.6,70.8
|
||||
cat_boost,robust_scaling,KMeansSMOTE,0.03,6,3,0.8,10,5,0.9859943590013067,0.8455895471055779,0.8020371696150306,0.7790660796768216,0.9589476503888168,0.9928306747692883,0.9963693077576995,0.9987425419930116,0.9869888604171744,0.6983484194418677,0.6077050314723615,0.5593896173606318,0.9309064403604594,90.4,5400.8,6.8,71.2
|
||||
cat_boost,robust_scaling,KMeansSMOTE,0.03,6,3,1.0,10,5,0.9861020982722708,0.8469259490456327,0.8033344354877547,0.7803038024550962,0.9598048908417075,0.9928856855497828,0.9964135841257609,0.998779524241532,0.9870612237987226,0.700966212541483,0.610255286849749,0.5618280806686603,0.9325485578846923,90.8,5401.0,6.6,70.8
|
||||
cat_boost,robust_scaling,KMeansSMOTE,0.03,8,1,0.8,10,5,0.9863893900996572,0.8500036099146012,0.8060615973468563,0.7828660730636322,0.964231805061976,0.9930328042996537,0.9965611507017205,0.9989274532356148,0.9872078427726576,0.7069744155295486,0.6155620439919921,0.5668046928916495,0.9412557673512941,91.6,5401.8,5.8,70.0
|
||||
cat_boost,robust_scaling,KMeansSMOTE,0.03,8,1,1.0,10,5,0.986245744185964,0.8476860128088646,0.8031711577107631,0.7797828081875858,0.9646225545136377,0.9929600993661,0.996553947866289,0.9989644354841356,0.9870279994042248,0.7024119262516294,0.6097883675552371,0.5606011808910359,0.9422171096230502,90.6,5402.0,5.6,71.0
|
||||
cat_boost,robust_scaling,KMeansSMOTE,0.03,8,3,0.8,10,5,0.9863893900996572,0.8495220361155831,0.8050537352020507,0.7816569886453523,0.9659996628309043,0.9930333414905947,0.9966055373221451,0.9990014245723546,0.9871366794500623,0.7060107307405714,0.6135019330819563,0.5643125527183498,0.944862646211746,91.2,5402.2,5.4,70.4
|
||||
cat_boost,robust_scaling,KMeansSMOTE,0.03,8,3,1.0,10,5,0.9863175639190143,0.8491915868997488,0.8053628818591857,0.7822264639269495,0.9631146491255429,0.9929960598572507,0.9965242639440666,0.9988904709870944,0.9871713330975938,0.7053871139422471,0.6142014997743052,0.5655624568668046,0.9390579651534919,91.4,5401.6,6.0,70.2
|
||||
cat_boost,robust_scaling,KMeansSMOTE,0.05,6,1,0.8,10,5,0.9866407688367221,0.8556837421302268,0.8150894007705028,0.7931979762531072,0.9563290102657941,0.99315811122897,0.9963906992292945,0.9985575965519166,0.987817299311019,0.7182093730314834,0.633788102311711,0.5878383559542979,0.9248407212205692,95.0,5399.8,7.8,66.6
|
||||
cat_boost,robust_scaling,KMeansSMOTE,0.05,6,1,1.0,10,5,0.9867484823173163,0.8559996996083085,0.8143727987698804,0.7920367073435457,0.960300275384561,0.9932142818892882,0.9965238018250784,0.9987425351533131,0.9877474074893051,0.7187851173273286,0.6322217957146827,0.585330879533778,0.9328531432798167,94.6,5400.8,6.8,67.0
|
||||
cat_boost,robust_scaling,KMeansSMOTE,0.05,6,3,0.8,10,5,0.9864612227278926,0.8533450421041462,0.812224517306803,0.7901038917962598,0.9555993374147942,0.9930666965431355,0.9963539512475978,0.9985576033916148,0.9876360004981617,0.7136233876651569,0.6280950833660081,0.5816501802009049,0.9235626743314267,94.0,5399.8,7.8,67.6
|
||||
cat_boost,robust_scaling,KMeansSMOTE,0.05,6,3,1.0,10,5,0.9867844083028228,0.8573006791580667,0.8164907232214175,0.7944656991807557,0.958193575687438,0.9932316312539872,0.9964645201920334,0.9986315747283545,0.9878901498488986,0.7213697270621464,0.6365169262508016,0.5902998236331569,0.9284970015259774,95.4,5400.2,7.4,66.2
|
||||
cat_boost,robust_scaling,KMeansSMOTE,0.05,8,1,0.8,10,5,0.98696397375443,0.8588520652710141,0.8174395366148681,0.7951607816902195,0.9620975495653582,0.9933240141817763,0.9965900576766396,0.9987795037224373,0.9879284071915372,0.7243801163602518,0.6382890155530964,0.5915420596580018,0.9362666919391796,95.6,5401.0,6.6,66.0
|
||||
cat_boost,robust_scaling,KMeansSMOTE,0.05,8,1,1.0,10,5,0.9869639802020224,0.8589256487158436,0.8174769428455269,0.7951646191718738,0.962012871399407,0.9933239605530348,0.996590061243829,0.9987795105621355,0.9879281234018163,0.7245273368786525,0.6383638244472246,0.5915497277816119,0.9360976193969981,95.6,5401.0,6.6,66.0
|
||||
cat_boost,robust_scaling,KMeansSMOTE,0.05,8,3,0.8,10,5,0.9866407494939446,0.8547901540994214,0.8131230269576963,0.7907913130218117,0.9595074852665129,0.993159153169854,0.9964795006647693,0.9987055460650941,0.9876746003357422,0.7164211550289888,0.6297665532506237,0.5828770799785292,0.9313403701972834,94.2,5400.6,7.0,67.4
|
||||
cat_boost,robust_scaling,KMeansSMOTE,0.05,8,3,1.0,10,5,0.9868562344834656,0.8578940042542003,0.816713699641437,0.7945065189109306,0.9597825930249886,0.9932686639522277,0.996523643388767,0.9987055460650941,0.9878908442470614,0.722519344556173,0.6369037558941069,0.5903074917567671,0.9316743418029161,95.4,5400.6,7.0,66.2
|
||||
cat_boost,robust_scaling,KMeansSMOTE,0.1,6,1,0.8,10,5,0.9870357548019252,0.8623889925070234,0.8248272214187775,0.8041988095438739,0.9520721366121677,0.9933574241810342,0.9963161878839678,0.9982987002931768,0.9884657552032878,0.7314205608330123,0.6533382549535874,0.610098918794571,0.9156785180210474,98.6,5398.4,9.2,63.0
|
||||
cat_boost,robust_scaling,KMeansSMOTE,0.1,6,1,1.0,10,5,0.9871435005204819,0.8625998575702166,0.8236953790986726,0.8024579181169808,0.956632062491588,0.9934137922982996,0.9964715073780287,0.9985206211430941,0.9883597026951225,0.7317859228421337,0.6509192508193165,0.6063952150908672,0.9249044222880534,98.0,5399.6,8.0,63.6
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||||
cat_boost,robust_scaling,KMeansSMOTE,0.1,6,3,0.8,10,5,0.9873948857051393,0.8667458053044029,0.829664336892599,0.8091970780277107,0.954337080418209,0.9935407771781357,0.9964341832568916,0.9983726853093131,0.988756309486377,0.7399508334306704,0.6628944905283063,0.6200214707461085,0.919917851350041,100.2,5398.8,8.8,61.4
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||||
cat_boost,robust_scaling,KMeansSMOTE,0.1,6,3,1.0,10,5,0.9872153395963098,0.8644394608691248,0.8267940039700823,0.8060953220274041,0.9540443270536809,0.9934492769479496,0.9963973749809257,0.9983726853093129,0.9885750243912155,0.7354296447903,0.6571906329592391,0.613817958745495,0.9195136297161464,99.2,5398.8,8.8,62.4
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||||
cat_boost,robust_scaling,KMeansSMOTE,0.1,8,1,0.8,10,5,0.9868203084979591,0.8599023912397564,0.8223149533336459,0.8016926983325823,0.9497489390690376,0.9932473069538978,0.9962276995711379,0.9982247494755321,0.9883200574357269,0.7265574755256153,0.6484022070961538,0.6051606471896328,0.9111778207023482,97.8,5398.0,9.6,63.8
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||||
cat_boost,robust_scaling,KMeansSMOTE,0.1,8,1,1.0,10,5,0.9870357999350727,0.8618063547824375,0.8234090356320497,0.8023986072625455,0.9541161878278945,0.9933581830944259,0.9963828328350818,0.9984096675578338,0.988358275605339,0.7302545264704492,0.6504352384290177,0.6063875469672572,0.91987410005045,98.0,5399.0,8.6,63.6
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||||
cat_boost,robust_scaling,KMeansSMOTE,0.1,8,3,0.8,10,5,0.9870716936826167,0.8625515302503806,0.8245004500539862,0.8036300100271925,0.953530205956364,0.9933761441894067,0.9963679530945301,0.9983726647902182,0.988430069482742,0.7317269163113542,0.6526329470134422,0.6088873552641669,0.9186303424299856,98.4,5398.8,8.8,63.2
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||||
cat_boost,robust_scaling,KMeansSMOTE,0.1,8,3,1.0,10,5,0.9869998868447514,0.8607931667292659,0.8214250075291298,0.7999887788946625,0.9563493266635918,0.9933405747125796,0.9964420595578707,0.9985206143033958,0.9882145666495015,0.7282457587459524,0.646407955500389,0.6014569434859289,0.9244840866776822,97.2,5399.6,8.0,64.4
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||||
cat_boost,robust_scaling,class_weight,0.03,6,1,0.8,10,5,0.986102098272271,0.8464211332649116,0.8023135099790324,0.7791138815061434,0.96203288693187,0.9928862049080953,0.9964579165143898,0.9988534818988754,0.9869903534333956,0.699956061621728,0.6081691034436749,0.5593742811134115,0.9370754204303445,90.4,5401.4,6.2,71.2
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||||
cat_boost,robust_scaling,class_weight,0.03,6,1,1.0,10,5,0.9861020918246783,0.8469134138715712,0.803336559335327,0.7803076365169013,0.9596527280526976,0.9928857095450654,0.9964136002318558,0.9987795242415322,0.9870612190530006,0.7009411181980768,0.6102595184387981,0.5618357487922705,0.9322442370523942,90.8,5401.0,6.6,70.8
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||||
cat_boost,robust_scaling,class_weight,0.03,6,3,0.8,10,5,0.9859943590013067,0.8455895471055779,0.8020371696150306,0.7790660796768216,0.9589476503888168,0.9928306747692883,0.9963693077576995,0.9987425419930116,0.9869888604171744,0.6983484194418677,0.6077050314723615,0.5593896173606318,0.9309064403604594,90.4,5400.8,6.8,71.2
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||||
cat_boost,robust_scaling,class_weight,0.03,6,3,1.0,10,5,0.9861020982722708,0.8469259490456327,0.8033344354877547,0.7803038024550962,0.9598048908417075,0.9928856855497828,0.9964135841257609,0.998779524241532,0.9870612237987226,0.700966212541483,0.610255286849749,0.5618280806686603,0.9325485578846923,90.8,5401.0,6.6,70.8
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||||
cat_boost,robust_scaling,class_weight,0.03,8,1,0.8,10,5,0.9863893900996572,0.8500036099146012,0.8060615973468563,0.7828660730636322,0.964231805061976,0.9930328042996537,0.9965611507017205,0.9989274532356148,0.9872078427726576,0.7069744155295486,0.6155620439919921,0.5668046928916495,0.9412557673512941,91.6,5401.8,5.8,70.0
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||||
cat_boost,robust_scaling,class_weight,0.03,8,1,1.0,10,5,0.986245744185964,0.8476860128088646,0.8031711577107631,0.7797828081875858,0.9646225545136377,0.9929600993661,0.996553947866289,0.9989644354841356,0.9870279994042248,0.7024119262516294,0.6097883675552371,0.5606011808910359,0.9422171096230502,90.6,5402.0,5.6,71.0
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||||
cat_boost,robust_scaling,class_weight,0.03,8,3,0.8,10,5,0.9863893900996572,0.8495220361155831,0.8050537352020507,0.7816569886453523,0.9659996628309043,0.9930333414905947,0.9966055373221451,0.9990014245723546,0.9871366794500623,0.7060107307405714,0.6135019330819563,0.5643125527183498,0.944862646211746,91.2,5402.2,5.4,70.4
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||||
cat_boost,robust_scaling,class_weight,0.03,8,3,1.0,10,5,0.9863175639190143,0.8491915868997488,0.8053628818591857,0.7822264639269495,0.9631146491255429,0.9929960598572507,0.9965242639440666,0.9988904709870944,0.9871713330975938,0.7053871139422471,0.6142014997743052,0.5655624568668046,0.9390579651534919,91.4,5401.6,6.0,70.2
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||||
cat_boost,robust_scaling,class_weight,0.05,6,1,0.8,10,5,0.9866407688367221,0.8556837421302268,0.8150894007705028,0.7931979762531072,0.9563290102657941,0.99315811122897,0.9963906992292945,0.9985575965519166,0.987817299311019,0.7182093730314834,0.633788102311711,0.5878383559542979,0.9248407212205692,95.0,5399.8,7.8,66.6
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||||
cat_boost,robust_scaling,class_weight,0.05,6,1,1.0,10,5,0.9867484823173163,0.8559996996083085,0.8143727987698804,0.7920367073435457,0.960300275384561,0.9932142818892882,0.9965238018250784,0.9987425351533131,0.9877474074893051,0.7187851173273286,0.6322217957146827,0.585330879533778,0.9328531432798167,94.6,5400.8,6.8,67.0
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||||
cat_boost,robust_scaling,class_weight,0.05,6,3,0.8,10,5,0.9864612227278926,0.8533450421041462,0.812224517306803,0.7901038917962598,0.9555993374147942,0.9930666965431355,0.9963539512475978,0.9985576033916148,0.9876360004981617,0.7136233876651569,0.6280950833660081,0.5816501802009049,0.9235626743314267,94.0,5399.8,7.8,67.6
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||||
cat_boost,robust_scaling,class_weight,0.05,6,3,1.0,10,5,0.9867844083028228,0.8573006791580667,0.8164907232214175,0.7944656991807557,0.958193575687438,0.9932316312539872,0.9964645201920334,0.9986315747283545,0.9878901498488986,0.7213697270621464,0.6365169262508016,0.5902998236331569,0.9284970015259774,95.4,5400.2,7.4,66.2
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||||
cat_boost,robust_scaling,class_weight,0.05,8,1,0.8,10,5,0.98696397375443,0.8588520652710141,0.8174395366148681,0.7951607816902195,0.9620975495653582,0.9933240141817763,0.9965900576766396,0.9987795037224373,0.9879284071915372,0.7243801163602518,0.6382890155530964,0.5915420596580018,0.9362666919391796,95.6,5401.0,6.6,66.0
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||||
cat_boost,robust_scaling,class_weight,0.05,8,1,1.0,10,5,0.9869639802020224,0.8589256487158436,0.8174769428455269,0.7951646191718738,0.962012871399407,0.9933239605530348,0.996590061243829,0.9987795105621355,0.9879281234018163,0.7245273368786525,0.6383638244472246,0.5915497277816119,0.9360976193969981,95.6,5401.0,6.6,66.0
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||||
cat_boost,robust_scaling,class_weight,0.05,8,3,0.8,10,5,0.9866407494939446,0.8547901540994214,0.8131230269576963,0.7907913130218117,0.9595074852665129,0.993159153169854,0.9964795006647693,0.9987055460650941,0.9876746003357422,0.7164211550289888,0.6297665532506237,0.5828770799785292,0.9313403701972834,94.2,5400.6,7.0,67.4
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||||
cat_boost,robust_scaling,class_weight,0.05,8,3,1.0,10,5,0.9868562344834656,0.8578940042542003,0.816713699641437,0.7945065189109306,0.9597825930249886,0.9932686639522277,0.996523643388767,0.9987055460650941,0.9878908442470614,0.722519344556173,0.6369037558941069,0.5903074917567671,0.9316743418029161,95.4,5400.6,7.0,66.2
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||||
cat_boost,robust_scaling,class_weight,0.1,6,1,0.8,10,5,0.9870357548019252,0.8623889925070234,0.8248272214187775,0.8041988095438739,0.9520721366121677,0.9933574241810342,0.9963161878839678,0.9982987002931768,0.9884657552032878,0.7314205608330123,0.6533382549535874,0.610098918794571,0.9156785180210474,98.6,5398.4,9.2,63.0
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||||
cat_boost,robust_scaling,class_weight,0.1,6,1,1.0,10,5,0.9871435005204819,0.8625998575702166,0.8236953790986726,0.8024579181169808,0.956632062491588,0.9934137922982996,0.9964715073780287,0.9985206211430941,0.9883597026951225,0.7317859228421337,0.6509192508193165,0.6063952150908672,0.9249044222880534,98.0,5399.6,8.0,63.6
|
||||
cat_boost,robust_scaling,class_weight,0.1,6,3,0.8,10,5,0.9873948857051393,0.8667458053044029,0.829664336892599,0.8091970780277107,0.954337080418209,0.9935407771781357,0.9964341832568916,0.9983726853093131,0.988756309486377,0.7399508334306704,0.6628944905283063,0.6200214707461085,0.919917851350041,100.2,5398.8,8.8,61.4
|
||||
cat_boost,robust_scaling,class_weight,0.1,6,3,1.0,10,5,0.9872153395963098,0.8644394608691248,0.8267940039700823,0.8060953220274041,0.9540443270536809,0.9934492769479496,0.9963973749809257,0.9983726853093129,0.9885750243912155,0.7354296447903,0.6571906329592391,0.613817958745495,0.9195136297161464,99.2,5398.8,8.8,62.4
|
||||
cat_boost,robust_scaling,class_weight,0.1,8,1,0.8,10,5,0.9868203084979591,0.8599023912397564,0.8223149533336459,0.8016926983325823,0.9497489390690376,0.9932473069538978,0.9962276995711379,0.9982247494755321,0.9883200574357269,0.7265574755256153,0.6484022070961538,0.6051606471896328,0.9111778207023482,97.8,5398.0,9.6,63.8
|
||||
cat_boost,robust_scaling,class_weight,0.1,8,1,1.0,10,5,0.9870357999350727,0.8618063547824375,0.8234090356320497,0.8023986072625455,0.9541161878278945,0.9933581830944259,0.9963828328350818,0.9984096675578338,0.988358275605339,0.7302545264704492,0.6504352384290177,0.6063875469672572,0.91987410005045,98.0,5399.0,8.6,63.6
|
||||
cat_boost,robust_scaling,class_weight,0.1,8,3,0.8,10,5,0.9870716936826167,0.8625515302503806,0.8245004500539862,0.8036300100271925,0.953530205956364,0.9933761441894067,0.9963679530945301,0.9983726647902182,0.988430069482742,0.7317269163113542,0.6526329470134422,0.6088873552641669,0.9186303424299856,98.4,5398.8,8.8,63.2
|
||||
cat_boost,robust_scaling,class_weight,0.1,8,3,1.0,10,5,0.9869998868447514,0.8607931667292659,0.8214250075291298,0.7999887788946625,0.9563493266635918,0.9933405747125796,0.9964420595578707,0.9985206143033958,0.9882145666495015,0.7282457587459524,0.646407955500389,0.6014569434859289,0.9244840866776822,97.2,5399.6,8.0,64.4
|
||||
cat_boost,minmax_scaling,KMeansSMOTE,0.03,6,1,0.8,10,5,0.986102098272271,0.8464211332649116,0.8023135099790324,0.7791138815061434,0.96203288693187,0.9928862049080953,0.9964579165143898,0.9988534818988754,0.9869903534333956,0.699956061621728,0.6081691034436749,0.5593742811134115,0.9370754204303445,90.4,5401.4,6.2,71.2
|
||||
cat_boost,minmax_scaling,KMeansSMOTE,0.03,6,1,1.0,10,5,0.9861020918246783,0.8469134138715712,0.803336559335327,0.7803076365169013,0.9596527280526976,0.9928857095450654,0.9964136002318558,0.9987795242415322,0.9870612190530006,0.7009411181980768,0.6102595184387981,0.5618357487922705,0.9322442370523942,90.8,5401.0,6.6,70.8
|
||||
cat_boost,minmax_scaling,KMeansSMOTE,0.03,6,3,0.8,10,5,0.9859943590013067,0.8455895471055779,0.8020371696150306,0.7790660796768216,0.9589476503888168,0.9928306747692883,0.9963693077576995,0.9987425419930116,0.9869888604171744,0.6983484194418677,0.6077050314723615,0.5593896173606318,0.9309064403604594,90.4,5400.8,6.8,71.2
|
||||
cat_boost,minmax_scaling,KMeansSMOTE,0.03,6,3,1.0,10,5,0.9861020982722708,0.8469259490456327,0.8033344354877547,0.7803038024550962,0.9598048908417075,0.9928856855497828,0.9964135841257609,0.998779524241532,0.9870612237987226,0.700966212541483,0.610255286849749,0.5618280806686603,0.9325485578846923,90.8,5401.0,6.6,70.8
|
||||
cat_boost,minmax_scaling,KMeansSMOTE,0.03,8,1,0.8,10,5,0.9863893900996572,0.8500036099146012,0.8060615973468563,0.7828660730636322,0.964231805061976,0.9930328042996537,0.9965611507017205,0.9989274532356148,0.9872078427726576,0.7069744155295486,0.6155620439919921,0.5668046928916495,0.9412557673512941,91.6,5401.8,5.8,70.0
|
||||
cat_boost,minmax_scaling,KMeansSMOTE,0.03,8,1,1.0,10,5,0.986245744185964,0.8476860128088646,0.8031711577107631,0.7797828081875858,0.9646225545136377,0.9929600993661,0.996553947866289,0.9989644354841356,0.9870279994042248,0.7024119262516294,0.6097883675552371,0.5606011808910359,0.9422171096230502,90.6,5402.0,5.6,71.0
|
||||
cat_boost,minmax_scaling,KMeansSMOTE,0.03,8,3,0.8,10,5,0.9863893900996572,0.8495220361155831,0.8050537352020507,0.7816569886453523,0.9659996628309043,0.9930333414905947,0.9966055373221451,0.9990014245723546,0.9871366794500623,0.7060107307405714,0.6135019330819563,0.5643125527183498,0.944862646211746,91.2,5402.2,5.4,70.4
|
||||
cat_boost,minmax_scaling,KMeansSMOTE,0.03,8,3,1.0,10,5,0.9863175639190143,0.8491915868997488,0.8053628818591857,0.7822264639269495,0.9631146491255429,0.9929960598572507,0.9965242639440666,0.9988904709870944,0.9871713330975938,0.7053871139422471,0.6142014997743052,0.5655624568668046,0.9390579651534919,91.4,5401.6,6.0,70.2
|
||||
cat_boost,minmax_scaling,KMeansSMOTE,0.05,6,1,0.8,10,5,0.9866407688367221,0.8556837421302268,0.8150894007705028,0.7931979762531072,0.9563290102657941,0.99315811122897,0.9963906992292945,0.9985575965519166,0.987817299311019,0.7182093730314834,0.633788102311711,0.5878383559542979,0.9248407212205692,95.0,5399.8,7.8,66.6
|
||||
cat_boost,minmax_scaling,KMeansSMOTE,0.05,6,1,1.0,10,5,0.9867484823173163,0.8559996996083085,0.8143727987698804,0.7920367073435457,0.960300275384561,0.9932142818892882,0.9965238018250784,0.9987425351533131,0.9877474074893051,0.7187851173273286,0.6322217957146827,0.585330879533778,0.9328531432798167,94.6,5400.8,6.8,67.0
|
||||
cat_boost,minmax_scaling,KMeansSMOTE,0.05,6,3,0.8,10,5,0.9864612227278926,0.8533450421041462,0.812224517306803,0.7901038917962598,0.9555993374147942,0.9930666965431355,0.9963539512475978,0.9985576033916148,0.9876360004981617,0.7136233876651569,0.6280950833660081,0.5816501802009049,0.9235626743314267,94.0,5399.8,7.8,67.6
|
||||
cat_boost,minmax_scaling,KMeansSMOTE,0.05,6,3,1.0,10,5,0.9867844083028228,0.8573006791580667,0.8164907232214175,0.7944656991807557,0.958193575687438,0.9932316312539872,0.9964645201920334,0.9986315747283545,0.9878901498488986,0.7213697270621464,0.6365169262508016,0.5902998236331569,0.9284970015259774,95.4,5400.2,7.4,66.2
|
||||
cat_boost,minmax_scaling,KMeansSMOTE,0.05,8,1,0.8,10,5,0.98696397375443,0.8588520652710141,0.8174395366148681,0.7951607816902195,0.9620975495653582,0.9933240141817763,0.9965900576766396,0.9987795037224373,0.9879284071915372,0.7243801163602518,0.6382890155530964,0.5915420596580018,0.9362666919391796,95.6,5401.0,6.6,66.0
|
||||
cat_boost,minmax_scaling,KMeansSMOTE,0.05,8,1,1.0,10,5,0.9869639802020224,0.8589256487158436,0.8174769428455269,0.7951646191718738,0.962012871399407,0.9933239605530348,0.996590061243829,0.9987795105621355,0.9879281234018163,0.7245273368786525,0.6383638244472246,0.5915497277816119,0.9360976193969981,95.6,5401.0,6.6,66.0
|
||||
cat_boost,minmax_scaling,KMeansSMOTE,0.05,8,3,0.8,10,5,0.9866407494939446,0.8547901540994214,0.8131230269576963,0.7907913130218117,0.9595074852665129,0.993159153169854,0.9964795006647693,0.9987055460650941,0.9876746003357422,0.7164211550289888,0.6297665532506237,0.5828770799785292,0.9313403701972834,94.2,5400.6,7.0,67.4
|
||||
cat_boost,minmax_scaling,KMeansSMOTE,0.05,8,3,1.0,10,5,0.9868562344834656,0.8578940042542003,0.816713699641437,0.7945065189109306,0.9597825930249886,0.9932686639522277,0.996523643388767,0.9987055460650941,0.9878908442470614,0.722519344556173,0.6369037558941069,0.5903074917567671,0.9316743418029161,95.4,5400.6,7.0,66.2
|
||||
cat_boost,minmax_scaling,KMeansSMOTE,0.1,6,1,0.8,10,5,0.9870357548019252,0.8623889925070234,0.8248272214187775,0.8041988095438739,0.9520721366121677,0.9933574241810342,0.9963161878839678,0.9982987002931768,0.9884657552032878,0.7314205608330123,0.6533382549535874,0.610098918794571,0.9156785180210474,98.6,5398.4,9.2,63.0
|
||||
cat_boost,minmax_scaling,KMeansSMOTE,0.1,6,1,1.0,10,5,0.9871435005204819,0.8625998575702166,0.8236953790986726,0.8024579181169808,0.956632062491588,0.9934137922982996,0.9964715073780287,0.9985206211430941,0.9883597026951225,0.7317859228421337,0.6509192508193165,0.6063952150908672,0.9249044222880534,98.0,5399.6,8.0,63.6
|
||||
cat_boost,minmax_scaling,KMeansSMOTE,0.1,6,3,0.8,10,5,0.9873948857051393,0.8667458053044029,0.829664336892599,0.8091970780277107,0.954337080418209,0.9935407771781357,0.9964341832568916,0.9983726853093131,0.988756309486377,0.7399508334306704,0.6628944905283063,0.6200214707461085,0.919917851350041,100.2,5398.8,8.8,61.4
|
||||
cat_boost,minmax_scaling,KMeansSMOTE,0.1,6,3,1.0,10,5,0.9872153395963098,0.8644394608691248,0.8267940039700823,0.8060953220274041,0.9540443270536809,0.9934492769479496,0.9963973749809257,0.9983726853093129,0.9885750243912155,0.7354296447903,0.6571906329592391,0.613817958745495,0.9195136297161464,99.2,5398.8,8.8,62.4
|
||||
cat_boost,minmax_scaling,KMeansSMOTE,0.1,8,1,0.8,10,5,0.9868203084979591,0.8599023912397564,0.8223149533336459,0.8016926983325823,0.9497489390690376,0.9932473069538978,0.9962276995711379,0.9982247494755321,0.9883200574357269,0.7265574755256153,0.6484022070961538,0.6051606471896328,0.9111778207023482,97.8,5398.0,9.6,63.8
|
||||
cat_boost,minmax_scaling,KMeansSMOTE,0.1,8,1,1.0,10,5,0.9870357999350727,0.8618063547824375,0.8234090356320497,0.8023986072625455,0.9541161878278945,0.9933581830944259,0.9963828328350818,0.9984096675578338,0.988358275605339,0.7302545264704492,0.6504352384290177,0.6063875469672572,0.91987410005045,98.0,5399.0,8.6,63.6
|
||||
cat_boost,minmax_scaling,KMeansSMOTE,0.1,8,3,0.8,10,5,0.9870716936826167,0.8625515302503806,0.8245004500539862,0.8036300100271925,0.953530205956364,0.9933761441894067,0.9963679530945301,0.9983726647902182,0.988430069482742,0.7317269163113542,0.6526329470134422,0.6088873552641669,0.9186303424299856,98.4,5398.8,8.8,63.2
|
||||
cat_boost,minmax_scaling,KMeansSMOTE,0.1,8,3,1.0,10,5,0.9869998868447514,0.8607931667292659,0.8214250075291298,0.7999887788946625,0.9563493266635918,0.9933405747125796,0.9964420595578707,0.9985206143033958,0.9882145666495015,0.7282457587459524,0.646407955500389,0.6014569434859289,0.9244840866776822,97.2,5399.6,8.0,64.4
|
||||
cat_boost,minmax_scaling,class_weight,0.03,6,1,0.8,10,5,0.986102098272271,0.8464211332649116,0.8023135099790324,0.7791138815061434,0.96203288693187,0.9928862049080953,0.9964579165143898,0.9988534818988754,0.9869903534333956,0.699956061621728,0.6081691034436749,0.5593742811134115,0.9370754204303445,90.4,5401.4,6.2,71.2
|
||||
cat_boost,minmax_scaling,class_weight,0.03,6,1,1.0,10,5,0.9861020918246783,0.8469134138715712,0.803336559335327,0.7803076365169013,0.9596527280526976,0.9928857095450654,0.9964136002318558,0.9987795242415322,0.9870612190530006,0.7009411181980768,0.6102595184387981,0.5618357487922705,0.9322442370523942,90.8,5401.0,6.6,70.8
|
||||
cat_boost,minmax_scaling,class_weight,0.03,6,3,0.8,10,5,0.9859943590013067,0.8455895471055779,0.8020371696150306,0.7790660796768216,0.9589476503888168,0.9928306747692883,0.9963693077576995,0.9987425419930116,0.9869888604171744,0.6983484194418677,0.6077050314723615,0.5593896173606318,0.9309064403604594,90.4,5400.8,6.8,71.2
|
||||
cat_boost,minmax_scaling,class_weight,0.03,6,3,1.0,10,5,0.9861020982722708,0.8469259490456327,0.8033344354877547,0.7803038024550962,0.9598048908417075,0.9928856855497828,0.9964135841257609,0.998779524241532,0.9870612237987226,0.700966212541483,0.610255286849749,0.5618280806686603,0.9325485578846923,90.8,5401.0,6.6,70.8
|
||||
cat_boost,minmax_scaling,class_weight,0.03,8,1,0.8,10,5,0.9863893900996572,0.8500036099146012,0.8060615973468563,0.7828660730636322,0.964231805061976,0.9930328042996537,0.9965611507017205,0.9989274532356148,0.9872078427726576,0.7069744155295486,0.6155620439919921,0.5668046928916495,0.9412557673512941,91.6,5401.8,5.8,70.0
|
||||
cat_boost,minmax_scaling,class_weight,0.03,8,1,1.0,10,5,0.986245744185964,0.8476860128088646,0.8031711577107631,0.7797828081875858,0.9646225545136377,0.9929600993661,0.996553947866289,0.9989644354841356,0.9870279994042248,0.7024119262516294,0.6097883675552371,0.5606011808910359,0.9422171096230502,90.6,5402.0,5.6,71.0
|
||||
cat_boost,minmax_scaling,class_weight,0.03,8,3,0.8,10,5,0.9863893900996572,0.8495220361155831,0.8050537352020507,0.7816569886453523,0.9659996628309043,0.9930333414905947,0.9966055373221451,0.9990014245723546,0.9871366794500623,0.7060107307405714,0.6135019330819563,0.5643125527183498,0.944862646211746,91.2,5402.2,5.4,70.4
|
||||
cat_boost,minmax_scaling,class_weight,0.03,8,3,1.0,10,5,0.9863175639190143,0.8491915868997488,0.8053628818591857,0.7822264639269495,0.9631146491255429,0.9929960598572507,0.9965242639440666,0.9988904709870944,0.9871713330975938,0.7053871139422471,0.6142014997743052,0.5655624568668046,0.9390579651534919,91.4,5401.6,6.0,70.2
|
||||
cat_boost,minmax_scaling,class_weight,0.05,6,1,0.8,10,5,0.9866407688367221,0.8556837421302268,0.8150894007705028,0.7931979762531072,0.9563290102657941,0.99315811122897,0.9963906992292945,0.9985575965519166,0.987817299311019,0.7182093730314834,0.633788102311711,0.5878383559542979,0.9248407212205692,95.0,5399.8,7.8,66.6
|
||||
cat_boost,minmax_scaling,class_weight,0.05,6,1,1.0,10,5,0.9867484823173163,0.8559996996083085,0.8143727987698804,0.7920367073435457,0.960300275384561,0.9932142818892882,0.9965238018250784,0.9987425351533131,0.9877474074893051,0.7187851173273286,0.6322217957146827,0.585330879533778,0.9328531432798167,94.6,5400.8,6.8,67.0
|
||||
cat_boost,minmax_scaling,class_weight,0.05,6,3,0.8,10,5,0.9864612227278926,0.8533450421041462,0.812224517306803,0.7901038917962598,0.9555993374147942,0.9930666965431355,0.9963539512475978,0.9985576033916148,0.9876360004981617,0.7136233876651569,0.6280950833660081,0.5816501802009049,0.9235626743314267,94.0,5399.8,7.8,67.6
|
||||
cat_boost,minmax_scaling,class_weight,0.05,6,3,1.0,10,5,0.9867844083028228,0.8573006791580667,0.8164907232214175,0.7944656991807557,0.958193575687438,0.9932316312539872,0.9964645201920334,0.9986315747283545,0.9878901498488986,0.7213697270621464,0.6365169262508016,0.5902998236331569,0.9284970015259774,95.4,5400.2,7.4,66.2
|
||||
cat_boost,minmax_scaling,class_weight,0.05,8,1,0.8,10,5,0.98696397375443,0.8588520652710141,0.8174395366148681,0.7951607816902195,0.9620975495653582,0.9933240141817763,0.9965900576766396,0.9987795037224373,0.9879284071915372,0.7243801163602518,0.6382890155530964,0.5915420596580018,0.9362666919391796,95.6,5401.0,6.6,66.0
|
||||
cat_boost,minmax_scaling,class_weight,0.05,8,1,1.0,10,5,0.9869639802020224,0.8589256487158436,0.8174769428455269,0.7951646191718738,0.962012871399407,0.9933239605530348,0.996590061243829,0.9987795105621355,0.9879281234018163,0.7245273368786525,0.6383638244472246,0.5915497277816119,0.9360976193969981,95.6,5401.0,6.6,66.0
|
||||
cat_boost,minmax_scaling,class_weight,0.05,8,3,0.8,10,5,0.9866407494939446,0.8547901540994214,0.8131230269576963,0.7907913130218117,0.9595074852665129,0.993159153169854,0.9964795006647693,0.9987055460650941,0.9876746003357422,0.7164211550289888,0.6297665532506237,0.5828770799785292,0.9313403701972834,94.2,5400.6,7.0,67.4
|
||||
cat_boost,minmax_scaling,class_weight,0.05,8,3,1.0,10,5,0.9868562344834656,0.8578940042542003,0.816713699641437,0.7945065189109306,0.9597825930249886,0.9932686639522277,0.996523643388767,0.9987055460650941,0.9878908442470614,0.722519344556173,0.6369037558941069,0.5903074917567671,0.9316743418029161,95.4,5400.6,7.0,66.2
|
||||
cat_boost,minmax_scaling,class_weight,0.1,6,1,0.8,10,5,0.9870357548019252,0.8623889925070234,0.8248272214187775,0.8041988095438739,0.9520721366121677,0.9933574241810342,0.9963161878839678,0.9982987002931768,0.9884657552032878,0.7314205608330123,0.6533382549535874,0.610098918794571,0.9156785180210474,98.6,5398.4,9.2,63.0
|
||||
cat_boost,minmax_scaling,class_weight,0.1,6,1,1.0,10,5,0.9871435005204819,0.8625998575702166,0.8236953790986726,0.8024579181169808,0.956632062491588,0.9934137922982996,0.9964715073780287,0.9985206211430941,0.9883597026951225,0.7317859228421337,0.6509192508193165,0.6063952150908672,0.9249044222880534,98.0,5399.6,8.0,63.6
|
||||
cat_boost,minmax_scaling,class_weight,0.1,6,3,0.8,10,5,0.9873948857051393,0.8667458053044029,0.829664336892599,0.8091970780277107,0.954337080418209,0.9935407771781357,0.9964341832568916,0.9983726853093131,0.988756309486377,0.7399508334306704,0.6628944905283063,0.6200214707461085,0.919917851350041,100.2,5398.8,8.8,61.4
|
||||
cat_boost,minmax_scaling,class_weight,0.1,6,3,1.0,10,5,0.9872153395963098,0.8644394608691248,0.8267940039700823,0.8060953220274041,0.9540443270536809,0.9934492769479496,0.9963973749809257,0.9983726853093129,0.9885750243912155,0.7354296447903,0.6571906329592391,0.613817958745495,0.9195136297161464,99.2,5398.8,8.8,62.4
|
||||
cat_boost,minmax_scaling,class_weight,0.1,8,1,0.8,10,5,0.9868203084979591,0.8599023912397564,0.8223149533336459,0.8016926983325823,0.9497489390690376,0.9932473069538978,0.9962276995711379,0.9982247494755321,0.9883200574357269,0.7265574755256153,0.6484022070961538,0.6051606471896328,0.9111778207023482,97.8,5398.0,9.6,63.8
|
||||
cat_boost,minmax_scaling,class_weight,0.1,8,1,1.0,10,5,0.9870357999350727,0.8618063547824375,0.8234090356320497,0.8023986072625455,0.9541161878278945,0.9933581830944259,0.9963828328350818,0.9984096675578338,0.988358275605339,0.7302545264704492,0.6504352384290177,0.6063875469672572,0.91987410005045,98.0,5399.0,8.6,63.6
|
||||
cat_boost,minmax_scaling,class_weight,0.1,8,3,0.8,10,5,0.9870716936826167,0.8625515302503806,0.8245004500539862,0.8036300100271925,0.953530205956364,0.9933761441894067,0.9963679530945301,0.9983726647902182,0.988430069482742,0.7317269163113542,0.6526329470134422,0.6088873552641669,0.9186303424299856,98.4,5398.8,8.8,63.2
|
||||
cat_boost,minmax_scaling,class_weight,0.1,8,3,1.0,10,5,0.9869998868447514,0.8607931667292659,0.8214250075291298,0.7999887788946625,0.9563493266635918,0.9933405747125796,0.9964420595578707,0.9985206143033958,0.9882145666495015,0.7282457587459524,0.646407955500389,0.6014569434859289,0.9244840866776822,97.2,5399.6,8.0,64.4
|
||||
cat_boost,yeo_johnson,KMeansSMOTE,0.03,6,1,0.8,10,5,0.986102098272271,0.8464211332649116,0.8023135099790324,0.7791138815061434,0.96203288693187,0.9928862049080953,0.9964579165143898,0.9988534818988754,0.9869903534333956,0.699956061621728,0.6081691034436749,0.5593742811134115,0.9370754204303445,90.4,5401.4,6.2,71.2
|
||||
cat_boost,yeo_johnson,KMeansSMOTE,0.03,6,1,1.0,10,5,0.9861020918246783,0.8469134138715712,0.803336559335327,0.7803076365169013,0.9596527280526976,0.9928857095450654,0.9964136002318558,0.9987795242415322,0.9870612190530006,0.7009411181980768,0.6102595184387981,0.5618357487922705,0.9322442370523942,90.8,5401.0,6.6,70.8
|
||||
cat_boost,yeo_johnson,KMeansSMOTE,0.03,6,3,0.8,10,5,0.9859943590013067,0.8455895471055779,0.8020371696150306,0.7790660796768216,0.9589476503888168,0.9928306747692883,0.9963693077576995,0.9987425419930116,0.9869888604171744,0.6983484194418677,0.6077050314723615,0.5593896173606318,0.9309064403604594,90.4,5400.8,6.8,71.2
|
||||
cat_boost,yeo_johnson,KMeansSMOTE,0.03,6,3,1.0,10,5,0.9861020982722708,0.8469259490456327,0.8033344354877547,0.7803038024550962,0.9598048908417075,0.9928856855497828,0.9964135841257609,0.998779524241532,0.9870612237987226,0.700966212541483,0.610255286849749,0.5618280806686603,0.9325485578846923,90.8,5401.0,6.6,70.8
|
||||
cat_boost,yeo_johnson,KMeansSMOTE,0.03,8,1,0.8,10,5,0.9863893900996572,0.8500036099146012,0.8060615973468563,0.7828660730636322,0.964231805061976,0.9930328042996537,0.9965611507017205,0.9989274532356148,0.9872078427726576,0.7069744155295486,0.6155620439919921,0.5668046928916495,0.9412557673512941,91.6,5401.8,5.8,70.0
|
||||
cat_boost,yeo_johnson,KMeansSMOTE,0.03,8,1,1.0,10,5,0.986245744185964,0.8476860128088646,0.8031711577107631,0.7797828081875858,0.9646225545136377,0.9929600993661,0.996553947866289,0.9989644354841356,0.9870279994042248,0.7024119262516294,0.6097883675552371,0.5606011808910359,0.9422171096230502,90.6,5402.0,5.6,71.0
|
||||
cat_boost,yeo_johnson,KMeansSMOTE,0.03,8,3,0.8,10,5,0.9863893900996572,0.8495220361155831,0.8050537352020507,0.7816569886453523,0.9659996628309043,0.9930333414905947,0.9966055373221451,0.9990014245723546,0.9871366794500623,0.7060107307405714,0.6135019330819563,0.5643125527183498,0.944862646211746,91.2,5402.2,5.4,70.4
|
||||
cat_boost,yeo_johnson,KMeansSMOTE,0.03,8,3,1.0,10,5,0.9863175639190143,0.8491915868997488,0.8053628818591857,0.7822264639269495,0.9631146491255429,0.9929960598572507,0.9965242639440666,0.9988904709870944,0.9871713330975938,0.7053871139422471,0.6142014997743052,0.5655624568668046,0.9390579651534919,91.4,5401.6,6.0,70.2
|
||||
cat_boost,yeo_johnson,KMeansSMOTE,0.05,6,1,0.8,10,5,0.9866407688367221,0.8556837421302268,0.8150894007705028,0.7931979762531072,0.9563290102657941,0.99315811122897,0.9963906992292945,0.9985575965519166,0.987817299311019,0.7182093730314834,0.633788102311711,0.5878383559542979,0.9248407212205692,95.0,5399.8,7.8,66.6
|
||||
cat_boost,yeo_johnson,KMeansSMOTE,0.05,6,1,1.0,10,5,0.9867484823173163,0.8559996996083085,0.8143727987698804,0.7920367073435457,0.960300275384561,0.9932142818892882,0.9965238018250784,0.9987425351533131,0.9877474074893051,0.7187851173273286,0.6322217957146827,0.585330879533778,0.9328531432798167,94.6,5400.8,6.8,67.0
|
||||
cat_boost,yeo_johnson,KMeansSMOTE,0.05,6,3,0.8,10,5,0.9864612227278926,0.8533450421041462,0.812224517306803,0.7901038917962598,0.9555993374147942,0.9930666965431355,0.9963539512475978,0.9985576033916148,0.9876360004981617,0.7136233876651569,0.6280950833660081,0.5816501802009049,0.9235626743314267,94.0,5399.8,7.8,67.6
|
||||
cat_boost,yeo_johnson,KMeansSMOTE,0.05,6,3,1.0,10,5,0.9867844083028228,0.8573006791580667,0.8164907232214175,0.7944656991807557,0.958193575687438,0.9932316312539872,0.9964645201920334,0.9986315747283545,0.9878901498488986,0.7213697270621464,0.6365169262508016,0.5902998236331569,0.9284970015259774,95.4,5400.2,7.4,66.2
|
||||
cat_boost,yeo_johnson,KMeansSMOTE,0.05,8,1,0.8,10,5,0.98696397375443,0.8588520652710141,0.8174395366148681,0.7951607816902195,0.9620975495653582,0.9933240141817763,0.9965900576766396,0.9987795037224373,0.9879284071915372,0.7243801163602518,0.6382890155530964,0.5915420596580018,0.9362666919391796,95.6,5401.0,6.6,66.0
|
||||
cat_boost,yeo_johnson,KMeansSMOTE,0.05,8,1,1.0,10,5,0.9869639802020224,0.8589256487158436,0.8174769428455269,0.7951646191718738,0.962012871399407,0.9933239605530348,0.996590061243829,0.9987795105621355,0.9879281234018163,0.7245273368786525,0.6383638244472246,0.5915497277816119,0.9360976193969981,95.6,5401.0,6.6,66.0
|
||||
cat_boost,yeo_johnson,KMeansSMOTE,0.05,8,3,0.8,10,5,0.9866407494939446,0.8547901540994214,0.8131230269576963,0.7907913130218117,0.9595074852665129,0.993159153169854,0.9964795006647693,0.9987055460650941,0.9876746003357422,0.7164211550289888,0.6297665532506237,0.5828770799785292,0.9313403701972834,94.2,5400.6,7.0,67.4
|
||||
cat_boost,yeo_johnson,KMeansSMOTE,0.05,8,3,1.0,10,5,0.9868562344834656,0.8578940042542003,0.816713699641437,0.7945065189109306,0.9597825930249886,0.9932686639522277,0.996523643388767,0.9987055460650941,0.9878908442470614,0.722519344556173,0.6369037558941069,0.5903074917567671,0.9316743418029161,95.4,5400.6,7.0,66.2
|
||||
cat_boost,yeo_johnson,KMeansSMOTE,0.1,6,1,0.8,10,5,0.9870357548019252,0.8623889925070234,0.8248272214187775,0.8041988095438739,0.9520721366121677,0.9933574241810342,0.9963161878839678,0.9982987002931768,0.9884657552032878,0.7314205608330123,0.6533382549535874,0.610098918794571,0.9156785180210474,98.6,5398.4,9.2,63.0
|
||||
cat_boost,yeo_johnson,KMeansSMOTE,0.1,6,1,1.0,10,5,0.9871435005204819,0.8625998575702166,0.8236953790986726,0.8024579181169808,0.956632062491588,0.9934137922982996,0.9964715073780287,0.9985206211430941,0.9883597026951225,0.7317859228421337,0.6509192508193165,0.6063952150908672,0.9249044222880534,98.0,5399.6,8.0,63.6
|
||||
cat_boost,yeo_johnson,KMeansSMOTE,0.1,6,3,0.8,10,5,0.9873948857051393,0.8667458053044029,0.829664336892599,0.8091970780277107,0.954337080418209,0.9935407771781357,0.9964341832568916,0.9983726853093131,0.988756309486377,0.7399508334306704,0.6628944905283063,0.6200214707461085,0.919917851350041,100.2,5398.8,8.8,61.4
|
||||
cat_boost,yeo_johnson,KMeansSMOTE,0.1,6,3,1.0,10,5,0.9872153395963098,0.8644394608691248,0.8267940039700823,0.8060953220274041,0.9540443270536809,0.9934492769479496,0.9963973749809257,0.9983726853093129,0.9885750243912155,0.7354296447903,0.6571906329592391,0.613817958745495,0.9195136297161464,99.2,5398.8,8.8,62.4
|
||||
cat_boost,yeo_johnson,KMeansSMOTE,0.1,8,1,0.8,10,5,0.9868203084979591,0.8599023912397564,0.8223149533336459,0.8016926983325823,0.9497489390690376,0.9932473069538978,0.9962276995711379,0.9982247494755321,0.9883200574357269,0.7265574755256153,0.6484022070961538,0.6051606471896328,0.9111778207023482,97.8,5398.0,9.6,63.8
|
||||
cat_boost,yeo_johnson,KMeansSMOTE,0.1,8,1,1.0,10,5,0.9870357999350727,0.8618063547824375,0.8234090356320497,0.8023986072625455,0.9541161878278945,0.9933581830944259,0.9963828328350818,0.9984096675578338,0.988358275605339,0.7302545264704492,0.6504352384290177,0.6063875469672572,0.91987410005045,98.0,5399.0,8.6,63.6
|
||||
cat_boost,yeo_johnson,KMeansSMOTE,0.1,8,3,0.8,10,5,0.9870716936826167,0.8625515302503806,0.8245004500539862,0.8036300100271925,0.953530205956364,0.9933761441894067,0.9963679530945301,0.9983726647902182,0.988430069482742,0.7317269163113542,0.6526329470134422,0.6088873552641669,0.9186303424299856,98.4,5398.8,8.8,63.2
|
||||
cat_boost,yeo_johnson,KMeansSMOTE,0.1,8,3,1.0,10,5,0.9869998868447514,0.8607931667292659,0.8214250075291298,0.7999887788946625,0.9563493266635918,0.9933405747125796,0.9964420595578707,0.9985206143033958,0.9882145666495015,0.7282457587459524,0.646407955500389,0.6014569434859289,0.9244840866776822,97.2,5399.6,8.0,64.4
|
||||
cat_boost,yeo_johnson,class_weight,0.03,6,1,0.8,10,5,0.986102098272271,0.8464211332649116,0.8023135099790324,0.7791138815061434,0.96203288693187,0.9928862049080953,0.9964579165143898,0.9988534818988754,0.9869903534333956,0.699956061621728,0.6081691034436749,0.5593742811134115,0.9370754204303445,90.4,5401.4,6.2,71.2
|
||||
cat_boost,yeo_johnson,class_weight,0.03,6,1,1.0,10,5,0.9861020918246783,0.8469134138715712,0.803336559335327,0.7803076365169013,0.9596527280526976,0.9928857095450654,0.9964136002318558,0.9987795242415322,0.9870612190530006,0.7009411181980768,0.6102595184387981,0.5618357487922705,0.9322442370523942,90.8,5401.0,6.6,70.8
|
||||
cat_boost,yeo_johnson,class_weight,0.03,6,3,0.8,10,5,0.9859943590013067,0.8455895471055779,0.8020371696150306,0.7790660796768216,0.9589476503888168,0.9928306747692883,0.9963693077576995,0.9987425419930116,0.9869888604171744,0.6983484194418677,0.6077050314723615,0.5593896173606318,0.9309064403604594,90.4,5400.8,6.8,71.2
|
||||
cat_boost,yeo_johnson,class_weight,0.03,6,3,1.0,10,5,0.9861020982722708,0.8469259490456327,0.8033344354877547,0.7803038024550962,0.9598048908417075,0.9928856855497828,0.9964135841257609,0.998779524241532,0.9870612237987226,0.700966212541483,0.610255286849749,0.5618280806686603,0.9325485578846923,90.8,5401.0,6.6,70.8
|
||||
cat_boost,yeo_johnson,class_weight,0.03,8,1,0.8,10,5,0.9863893900996572,0.8500036099146012,0.8060615973468563,0.7828660730636322,0.964231805061976,0.9930328042996537,0.9965611507017205,0.9989274532356148,0.9872078427726576,0.7069744155295486,0.6155620439919921,0.5668046928916495,0.9412557673512941,91.6,5401.8,5.8,70.0
|
||||
cat_boost,yeo_johnson,class_weight,0.03,8,1,1.0,10,5,0.986245744185964,0.8476860128088646,0.8031711577107631,0.7797828081875858,0.9646225545136377,0.9929600993661,0.996553947866289,0.9989644354841356,0.9870279994042248,0.7024119262516294,0.6097883675552371,0.5606011808910359,0.9422171096230502,90.6,5402.0,5.6,71.0
|
||||
cat_boost,yeo_johnson,class_weight,0.03,8,3,0.8,10,5,0.9863893900996572,0.8495220361155831,0.8050537352020507,0.7816569886453523,0.9659996628309043,0.9930333414905947,0.9966055373221451,0.9990014245723546,0.9871366794500623,0.7060107307405714,0.6135019330819563,0.5643125527183498,0.944862646211746,91.2,5402.2,5.4,70.4
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||||
cat_boost,yeo_johnson,class_weight,0.03,8,3,1.0,10,5,0.9863175639190143,0.8491915868997488,0.8053628818591857,0.7822264639269495,0.9631146491255429,0.9929960598572507,0.9965242639440666,0.9988904709870944,0.9871713330975938,0.7053871139422471,0.6142014997743052,0.5655624568668046,0.9390579651534919,91.4,5401.6,6.0,70.2
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||||
cat_boost,yeo_johnson,class_weight,0.05,6,1,0.8,10,5,0.9866407688367221,0.8556837421302268,0.8150894007705028,0.7931979762531072,0.9563290102657941,0.99315811122897,0.9963906992292945,0.9985575965519166,0.987817299311019,0.7182093730314834,0.633788102311711,0.5878383559542979,0.9248407212205692,95.0,5399.8,7.8,66.6
|
||||
cat_boost,yeo_johnson,class_weight,0.05,6,1,1.0,10,5,0.9867484823173163,0.8559996996083085,0.8143727987698804,0.7920367073435457,0.960300275384561,0.9932142818892882,0.9965238018250784,0.9987425351533131,0.9877474074893051,0.7187851173273286,0.6322217957146827,0.585330879533778,0.9328531432798167,94.6,5400.8,6.8,67.0
|
||||
cat_boost,yeo_johnson,class_weight,0.05,6,3,0.8,10,5,0.9864612227278926,0.8533450421041462,0.812224517306803,0.7901038917962598,0.9555993374147942,0.9930666965431355,0.9963539512475978,0.9985576033916148,0.9876360004981617,0.7136233876651569,0.6280950833660081,0.5816501802009049,0.9235626743314267,94.0,5399.8,7.8,67.6
|
||||
cat_boost,yeo_johnson,class_weight,0.05,6,3,1.0,10,5,0.9867844083028228,0.8573006791580667,0.8164907232214175,0.7944656991807557,0.958193575687438,0.9932316312539872,0.9964645201920334,0.9986315747283545,0.9878901498488986,0.7213697270621464,0.6365169262508016,0.5902998236331569,0.9284970015259774,95.4,5400.2,7.4,66.2
|
||||
cat_boost,yeo_johnson,class_weight,0.05,8,1,0.8,10,5,0.98696397375443,0.8588520652710141,0.8174395366148681,0.7951607816902195,0.9620975495653582,0.9933240141817763,0.9965900576766396,0.9987795037224373,0.9879284071915372,0.7243801163602518,0.6382890155530964,0.5915420596580018,0.9362666919391796,95.6,5401.0,6.6,66.0
|
||||
cat_boost,yeo_johnson,class_weight,0.05,8,1,1.0,10,5,0.9869639802020224,0.8589256487158436,0.8174769428455269,0.7951646191718738,0.962012871399407,0.9933239605530348,0.996590061243829,0.9987795105621355,0.9879281234018163,0.7245273368786525,0.6383638244472246,0.5915497277816119,0.9360976193969981,95.6,5401.0,6.6,66.0
|
||||
cat_boost,yeo_johnson,class_weight,0.05,8,3,0.8,10,5,0.9866407494939446,0.8547901540994214,0.8131230269576963,0.7907913130218117,0.9595074852665129,0.993159153169854,0.9964795006647693,0.9987055460650941,0.9876746003357422,0.7164211550289888,0.6297665532506237,0.5828770799785292,0.9313403701972834,94.2,5400.6,7.0,67.4
|
||||
cat_boost,yeo_johnson,class_weight,0.05,8,3,1.0,10,5,0.9868562344834656,0.8578940042542003,0.816713699641437,0.7945065189109306,0.9597825930249886,0.9932686639522277,0.996523643388767,0.9987055460650941,0.9878908442470614,0.722519344556173,0.6369037558941069,0.5903074917567671,0.9316743418029161,95.4,5400.6,7.0,66.2
|
||||
cat_boost,yeo_johnson,class_weight,0.1,6,1,0.8,10,5,0.9870357548019252,0.8623889925070234,0.8248272214187775,0.8041988095438739,0.9520721366121677,0.9933574241810342,0.9963161878839678,0.9982987002931768,0.9884657552032878,0.7314205608330123,0.6533382549535874,0.610098918794571,0.9156785180210474,98.6,5398.4,9.2,63.0
|
||||
cat_boost,yeo_johnson,class_weight,0.1,6,1,1.0,10,5,0.9871435005204819,0.8625998575702166,0.8236953790986726,0.8024579181169808,0.956632062491588,0.9934137922982996,0.9964715073780287,0.9985206211430941,0.9883597026951225,0.7317859228421337,0.6509192508193165,0.6063952150908672,0.9249044222880534,98.0,5399.6,8.0,63.6
|
||||
cat_boost,yeo_johnson,class_weight,0.1,6,3,0.8,10,5,0.9873948857051393,0.8667458053044029,0.829664336892599,0.8091970780277107,0.954337080418209,0.9935407771781357,0.9964341832568916,0.9983726853093131,0.988756309486377,0.7399508334306704,0.6628944905283063,0.6200214707461085,0.919917851350041,100.2,5398.8,8.8,61.4
|
||||
cat_boost,yeo_johnson,class_weight,0.1,6,3,1.0,10,5,0.9872153395963098,0.8644394608691248,0.8267940039700823,0.8060953220274041,0.9540443270536809,0.9934492769479496,0.9963973749809257,0.9983726853093129,0.9885750243912155,0.7354296447903,0.6571906329592391,0.613817958745495,0.9195136297161464,99.2,5398.8,8.8,62.4
|
||||
cat_boost,yeo_johnson,class_weight,0.1,8,1,0.8,10,5,0.9868203084979591,0.8599023912397564,0.8223149533336459,0.8016926983325823,0.9497489390690376,0.9932473069538978,0.9962276995711379,0.9982247494755321,0.9883200574357269,0.7265574755256153,0.6484022070961538,0.6051606471896328,0.9111778207023482,97.8,5398.0,9.6,63.8
|
||||
cat_boost,yeo_johnson,class_weight,0.1,8,1,1.0,10,5,0.9870357999350727,0.8618063547824375,0.8234090356320497,0.8023986072625455,0.9541161878278945,0.9933581830944259,0.9963828328350818,0.9984096675578338,0.988358275605339,0.7302545264704492,0.6504352384290177,0.6063875469672572,0.91987410005045,98.0,5399.0,8.6,63.6
|
||||
cat_boost,yeo_johnson,class_weight,0.1,8,3,0.8,10,5,0.9870716936826167,0.8625515302503806,0.8245004500539862,0.8036300100271925,0.953530205956364,0.9933761441894067,0.9963679530945301,0.9983726647902182,0.988430069482742,0.7317269163113542,0.6526329470134422,0.6088873552641669,0.9186303424299856,98.4,5398.8,8.8,63.2
|
||||
cat_boost,yeo_johnson,class_weight,0.1,8,3,1.0,10,5,0.9869998868447514,0.8607931667292659,0.8214250075291298,0.7999887788946625,0.9563493266635918,0.9933405747125796,0.9964420595578707,0.9985206143033958,0.9882145666495015,0.7282457587459524,0.646407955500389,0.6014569434859289,0.9244840866776822,97.2,5399.6,8.0,64.4
|
||||
|
104
catboost_info/catboost_training.json
Normal file
104
catboost_info/catboost_training.json
Normal file
@@ -0,0 +1,104 @@
|
||||
{
|
||||
"meta":{"test_sets":[],"test_metrics":[],"learn_metrics":[{"best_value":"Min","name":"Logloss"}],"launch_mode":"Train","parameters":"","iteration_count":100,"learn_sets":["learn"],"name":"experiment"},
|
||||
"iterations":[
|
||||
{"learn":[0.5362182115],"iteration":0,"passed_time":0.03706351338,"remaining_time":3.669287824},
|
||||
{"learn":[0.4350061839],"iteration":1,"passed_time":0.06754724357,"remaining_time":3.309814935},
|
||||
{"learn":[0.3627836859],"iteration":2,"passed_time":0.09636335149,"remaining_time":3.115748365},
|
||||
{"learn":[0.3133898847],"iteration":3,"passed_time":0.1231279307,"remaining_time":2.955070337},
|
||||
{"learn":[0.2751595914],"iteration":4,"passed_time":0.1508925249,"remaining_time":2.866957974},
|
||||
{"learn":[0.2397233684],"iteration":5,"passed_time":0.1767954604,"remaining_time":2.769795546},
|
||||
{"learn":[0.2113156522],"iteration":6,"passed_time":0.2024354445,"remaining_time":2.689499477},
|
||||
{"learn":[0.1953507088],"iteration":7,"passed_time":0.2286196225,"remaining_time":2.629125659},
|
||||
{"learn":[0.1840143441],"iteration":8,"passed_time":0.2587455706,"remaining_time":2.616205214},
|
||||
{"learn":[0.1706949477],"iteration":9,"passed_time":0.2845571335,"remaining_time":2.561014201},
|
||||
{"learn":[0.1620772533],"iteration":10,"passed_time":0.3097861702,"remaining_time":2.506451741},
|
||||
{"learn":[0.1545441635],"iteration":11,"passed_time":0.3388656045,"remaining_time":2.485014433},
|
||||
{"learn":[0.1465173236],"iteration":12,"passed_time":0.3672580987,"remaining_time":2.457804199},
|
||||
{"learn":[0.1415301698],"iteration":13,"passed_time":0.3948528641,"remaining_time":2.425524737},
|
||||
{"learn":[0.1355367956],"iteration":14,"passed_time":0.4233522304,"remaining_time":2.398995973},
|
||||
{"learn":[0.1308604636],"iteration":15,"passed_time":0.4518823876,"remaining_time":2.372382535},
|
||||
{"learn":[0.1258709194],"iteration":16,"passed_time":0.4814348093,"remaining_time":2.350534657},
|
||||
{"learn":[0.121327471],"iteration":17,"passed_time":0.5107210297,"remaining_time":2.326618024},
|
||||
{"learn":[0.1173725037],"iteration":18,"passed_time":0.5373066553,"remaining_time":2.29062311},
|
||||
{"learn":[0.1136409199],"iteration":19,"passed_time":0.5668454107,"remaining_time":2.267381643},
|
||||
{"learn":[0.1097959508],"iteration":20,"passed_time":0.5935244922,"remaining_time":2.232782613},
|
||||
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|
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|
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|
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|
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{"learn":[0.04149603099],"iteration":80,"passed_time":2.268512238,"remaining_time":0.5321201545},
|
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{"learn":[0.04131352094],"iteration":81,"passed_time":2.294434339,"remaining_time":0.5036563184},
|
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{"learn":[0.04087094967],"iteration":82,"passed_time":2.32331457,"remaining_time":0.4758596108},
|
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{"learn":[0.0407229616],"iteration":83,"passed_time":2.349364669,"remaining_time":0.4474980321},
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{"learn":[0.04048230194],"iteration":84,"passed_time":2.375966419,"remaining_time":0.4192881916},
|
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{"learn":[0.04019292818],"iteration":85,"passed_time":2.40442637,"remaining_time":0.3914182462},
|
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{"learn":[0.03999431065],"iteration":86,"passed_time":2.429575283,"remaining_time":0.3630399849},
|
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{"learn":[0.03963063313],"iteration":87,"passed_time":2.455041856,"remaining_time":0.3347784349},
|
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{"learn":[0.03950575155],"iteration":88,"passed_time":2.481761853,"remaining_time":0.306734611},
|
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{"learn":[0.03937511809],"iteration":89,"passed_time":2.506058289,"remaining_time":0.278450921},
|
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{"learn":[0.03902639674],"iteration":90,"passed_time":2.537472911,"remaining_time":0.2509588594},
|
||||
{"learn":[0.0386153965],"iteration":91,"passed_time":2.563832418,"remaining_time":0.2229419494},
|
||||
{"learn":[0.03849577538],"iteration":92,"passed_time":2.588633174,"remaining_time":0.1948433572},
|
||||
{"learn":[0.03828038492],"iteration":93,"passed_time":2.614972265,"remaining_time":0.1669131233},
|
||||
{"learn":[0.037581457],"iteration":94,"passed_time":2.643520297,"remaining_time":0.1391326472},
|
||||
{"learn":[0.03730521765],"iteration":95,"passed_time":2.668687335,"remaining_time":0.1111953056},
|
||||
{"learn":[0.03698274753],"iteration":96,"passed_time":2.698547623,"remaining_time":0.08346023578},
|
||||
{"learn":[0.03692042628],"iteration":97,"passed_time":2.723030513,"remaining_time":0.05557205129},
|
||||
{"learn":[0.03669428709],"iteration":98,"passed_time":2.748600458,"remaining_time":0.02776364099},
|
||||
{"learn":[0.03630353367],"iteration":99,"passed_time":2.776722084,"remaining_time":0}
|
||||
]}
|
||||
BIN
catboost_info/learn/events.out.tfevents
Normal file
BIN
catboost_info/learn/events.out.tfevents
Normal file
Binary file not shown.
101
catboost_info/learn_error.tsv
Normal file
101
catboost_info/learn_error.tsv
Normal file
@@ -0,0 +1,101 @@
|
||||
iter Logloss
|
||||
0 0.5362182115
|
||||
1 0.4350061839
|
||||
2 0.3627836859
|
||||
3 0.3133898847
|
||||
4 0.2751595914
|
||||
5 0.2397233684
|
||||
6 0.2113156522
|
||||
7 0.1953507088
|
||||
8 0.1840143441
|
||||
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|
||||
10 0.1620772533
|
||||
11 0.1545441635
|
||||
12 0.1465173236
|
||||
13 0.1415301698
|
||||
14 0.1355367956
|
||||
15 0.1308604636
|
||||
16 0.1258709194
|
||||
17 0.121327471
|
||||
18 0.1173725037
|
||||
19 0.1136409199
|
||||
20 0.1097959508
|
||||
21 0.1067253666
|
||||
22 0.1024064669
|
||||
23 0.09901992217
|
||||
24 0.09567527484
|
||||
25 0.09377244268
|
||||
26 0.09156823556
|
||||
27 0.08858936107
|
||||
28 0.08620594774
|
||||
29 0.08449640594
|
||||
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|
||||
31 0.08113275342
|
||||
32 0.07948416585
|
||||
33 0.07752156705
|
||||
34 0.0758993004
|
||||
35 0.07462952526
|
||||
36 0.07326399537
|
||||
37 0.07204226808
|
||||
38 0.0709181573
|
||||
39 0.0697872959
|
||||
40 0.06887255051
|
||||
41 0.06779376451
|
||||
42 0.06655209373
|
||||
43 0.06472935248
|
||||
44 0.06358214688
|
||||
45 0.06235626673
|
||||
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||||
47 0.06030088326
|
||||
48 0.0594838545
|
||||
49 0.05857401953
|
||||
50 0.05779726387
|
||||
51 0.05705401197
|
||||
52 0.0563860381
|
||||
53 0.05578116129
|
||||
54 0.05501245032
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
63 0.0500145832
|
||||
64 0.04913773926
|
||||
65 0.04856317666
|
||||
66 0.04793897559
|
||||
67 0.04735074265
|
||||
68 0.04681185043
|
||||
69 0.04639291477
|
||||
70 0.04587299669
|
||||
71 0.04538571251
|
||||
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||||
73 0.04504062268
|
||||
74 0.04475003947
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||||
75 0.04418860638
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||||
76 0.04384235707
|
||||
77 0.04345384668
|
||||
78 0.0429983499
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||||
79 0.04232998964
|
||||
80 0.04149603099
|
||||
81 0.04131352094
|
||||
82 0.04087094967
|
||||
83 0.0407229616
|
||||
84 0.04048230194
|
||||
85 0.04019292818
|
||||
86 0.03999431065
|
||||
87 0.03963063313
|
||||
88 0.03950575155
|
||||
89 0.03937511809
|
||||
90 0.03902639674
|
||||
91 0.0386153965
|
||||
92 0.03849577538
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||||
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||||
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|
||||
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|
||||
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|
||||
97 0.03692042628
|
||||
98 0.03669428709
|
||||
99 0.03630353367
|
||||
|
101
catboost_info/time_left.tsv
Normal file
101
catboost_info/time_left.tsv
Normal file
@@ -0,0 +1,101 @@
|
||||
iter Passed Remaining
|
||||
0 37 3669
|
||||
1 67 3309
|
||||
2 96 3115
|
||||
3 123 2955
|
||||
4 150 2866
|
||||
5 176 2769
|
||||
6 202 2689
|
||||
7 228 2629
|
||||
8 258 2616
|
||||
9 284 2561
|
||||
10 309 2506
|
||||
11 338 2485
|
||||
12 367 2457
|
||||
13 394 2425
|
||||
14 423 2398
|
||||
15 451 2372
|
||||
16 481 2350
|
||||
17 510 2326
|
||||
18 537 2290
|
||||
19 566 2267
|
||||
20 593 2232
|
||||
21 621 2202
|
||||
22 650 2178
|
||||
23 677 2146
|
||||
24 706 2118
|
||||
25 734 2091
|
||||
26 763 2063
|
||||
27 792 2037
|
||||
28 821 2010
|
||||
29 849 1982
|
||||
30 877 1952
|
||||
31 902 1917
|
||||
32 929 1886
|
||||
33 956 1856
|
||||
34 982 1824
|
||||
35 1011 1797
|
||||
36 1041 1772
|
||||
37 1071 1748
|
||||
38 1101 1722
|
||||
39 1129 1694
|
||||
40 1157 1666
|
||||
41 1188 1640
|
||||
42 1214 1609
|
||||
43 1242 1581
|
||||
44 1269 1551
|
||||
45 1296 1521
|
||||
46 1323 1493
|
||||
47 1353 1466
|
||||
48 1381 1437
|
||||
49 1406 1406
|
||||
50 1434 1378
|
||||
51 1463 1350
|
||||
52 1492 1323
|
||||
53 1519 1294
|
||||
54 1550 1268
|
||||
55 1580 1242
|
||||
56 1611 1215
|
||||
57 1636 1185
|
||||
58 1662 1155
|
||||
59 1691 1127
|
||||
60 1716 1097
|
||||
61 1745 1069
|
||||
62 1773 1041
|
||||
63 1802 1014
|
||||
64 1832 986
|
||||
65 1862 959
|
||||
66 1888 930
|
||||
67 1916 901
|
||||
68 1943 873
|
||||
69 1971 844
|
||||
70 2000 816
|
||||
71 2028 788
|
||||
72 2053 759
|
||||
73 2079 730
|
||||
74 2104 701
|
||||
75 2133 673
|
||||
76 2158 644
|
||||
77 2186 616
|
||||
78 2214 588
|
||||
79 2240 560
|
||||
80 2268 532
|
||||
81 2294 503
|
||||
82 2323 475
|
||||
83 2349 447
|
||||
84 2375 419
|
||||
85 2404 391
|
||||
86 2429 363
|
||||
87 2455 334
|
||||
88 2481 306
|
||||
89 2506 278
|
||||
90 2537 250
|
||||
91 2563 222
|
||||
92 2588 194
|
||||
93 2614 166
|
||||
94 2643 139
|
||||
95 2668 111
|
||||
96 2698 83
|
||||
97 2723 55
|
||||
98 2748 27
|
||||
99 2776 0
|
||||
|
4
comparison_catboost_lightgbm_lightgbm_no_x.csv
Normal file
4
comparison_catboost_lightgbm_lightgbm_no_x.csv
Normal file
@@ -0,0 +1,4 @@
|
||||
model,accuracy,f1_macro,f2_macro,recall_macro,precision_macro,f1_class0,f2_class0,recall_class0,precision_class0,f1_class1,f2_class1,recall_class1,precision_class1,TP,TN,FP,FN
|
||||
catboost,0.9814814814814815,0.8195693865042805,0.8013174756506312,0.7903526990720451,0.8559205703525894,0.9904901243599122,0.9921698350221925,0.9932928107315029,0.9877032096706961,0.6486486486486487,0.6104651162790697,0.5874125874125874,0.7241379310344828,84,4739,32,59
|
||||
lightgbm,0.9849409849409849,0.8469442386692707,0.8185917013944679,0.8023094072140393,0.9084632979829487,0.9922755741127348,0.9946427824048885,0.9962272060364703,0.9883551673944687,0.7016129032258065,0.6425406203840472,0.6083916083916084,0.8285714285714286,87,4753,18,56
|
||||
lightgbm_no_x,0.9881969881969882,0.8781216645228386,0.8437523569608822,0.8243364265162629,0.9552017740731065,0.9939482470784641,0.9965686069381093,0.9983232026828757,0.9896114689382921,0.7622950819672131,0.6909361069836553,0.6503496503496503,0.9207920792079208,93,4763,8,50
|
||||
|
2
comparison_lightgbm_no_x.csv
Normal file
2
comparison_lightgbm_no_x.csv
Normal file
@@ -0,0 +1,2 @@
|
||||
model,accuracy,f1_macro,f2_macro,recall_macro,precision_macro,f1_class0,f2_class0,recall_class0,precision_class0,f1_class1,f2_class1,recall_class1,precision_class1,TP,TN,FP,FN
|
||||
lightgbm,0.9881969881969882,0.8781216645228386,0.8437523569608822,0.8243364265162629,0.9552017740731065,0.9939482470784641,0.9965686069381093,0.9983232026828757,0.9896114689382921,0.7622950819672131,0.6909361069836553,0.6503496503496503,0.9207920792079208,93,4763,8,50
|
||||
|
BIN
feature_importance.png
Normal file
BIN
feature_importance.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 96 KiB |
495
feature_selection_results.csv
Normal file
495
feature_selection_results.csv
Normal file
@@ -0,0 +1,495 @@
|
||||
"Num_Features","Features","Accuracy","F1_class1","F2_class1","Precision_class1","Recall_class1"
|
||||
1,"time_ptp",0.9805,0.5362,0.4297,0.9136,0.3795
|
||||
2,"time_ptp, time_kurtosis",0.9849,0.6877,0.6042,0.8934,0.559
|
||||
3,"time_ptp, time_kurtosis, time_skew",0.9843,0.673,0.5889,0.8833,0.5436
|
||||
4,"time_ptp, time_kurtosis, time_skew, acf_mean_abs",0.9841,0.679,0.6051,0.8527,0.5641
|
||||
5,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp",0.9852,0.7015,0.6264,0.8769,0.5846
|
||||
6,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio",0.9853,0.7091,0.6393,0.8667,0.6
|
||||
7,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time",0.9857,0.7169,0.6489,0.8686,0.6103
|
||||
8,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2",0.9855,0.7164,0.6522,0.8571,0.6154
|
||||
9,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min",0.9853,0.7108,0.6434,0.8613,0.6051
|
||||
10,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid",0.9864,0.7359,0.6725,0.8732,0.6359
|
||||
11,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom",0.986,0.731,0.6742,0.8503,0.641
|
||||
12,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq",0.9866,0.7396,0.6771,0.8741,0.641
|
||||
13,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth",0.9873,0.758,0.7004,0.8784,0.6667
|
||||
14,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std",0.9866,0.7396,0.6771,0.8741,0.641
|
||||
15,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay",0.986,0.7294,0.6703,0.8552,0.6359
|
||||
16,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq",0.9875,0.7602,0.7012,0.8844,0.6667
|
||||
17,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq",0.9869,0.7485,0.6904,0.8707,0.6564
|
||||
18,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var",0.9872,0.7544,0.6958,0.8776,0.6615
|
||||
19,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var",0.987,0.7507,0.6911,0.8767,0.6564
|
||||
20,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr",0.9867,0.7493,0.6974,0.8553,0.6667
|
||||
21,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95",0.9872,0.7529,0.6919,0.8828,0.6564
|
||||
22,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy",0.9873,0.758,0.7004,0.8784,0.6667
|
||||
23,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633",0.9876,0.7638,0.7058,0.8851,0.6718
|
||||
24,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef",0.9872,0.75,0.684,0.8936,0.6462
|
||||
25,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229",0.9869,0.7471,0.6865,0.8759,0.6513
|
||||
26,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max",0.9869,0.7456,0.6826,0.8811,0.6462
|
||||
27,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330",0.9864,0.7375,0.6764,0.8681,0.641
|
||||
28,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25",0.9866,0.7396,0.6771,0.8741,0.641
|
||||
29,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95",0.9876,0.7638,0.7058,0.8851,0.6718
|
||||
30,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373",0.9872,0.7515,0.688,0.8881,0.6513
|
||||
31,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752",0.9869,0.7485,0.6904,0.8707,0.6564
|
||||
32,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166",0.9863,0.7321,0.6678,0.8723,0.6308
|
||||
33,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5",0.9873,0.7566,0.6965,0.8836,0.6615
|
||||
34,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39",0.9867,0.7434,0.6818,0.875,0.6462
|
||||
35,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636",0.9863,0.7337,0.6717,0.8671,0.6359
|
||||
36,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75",0.9867,0.7418,0.6779,0.8803,0.641
|
||||
37,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661",0.9867,0.7434,0.6818,0.875,0.6462
|
||||
38,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546",0.987,0.7493,0.6872,0.8819,0.6513
|
||||
39,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838",0.9864,0.7405,0.6843,0.8581,0.6513
|
||||
40,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10",0.9867,0.7434,0.6818,0.875,0.6462
|
||||
41,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521",0.987,0.7493,0.6872,0.8819,0.6513
|
||||
42,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843",0.9867,0.7449,0.6857,0.8699,0.6513
|
||||
43,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755",0.9867,0.7434,0.6818,0.875,0.6462
|
||||
44,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346",0.9869,0.7485,0.6904,0.8707,0.6564
|
||||
45,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999",0.9866,0.7381,0.6732,0.8794,0.6359
|
||||
46,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993",0.9867,0.7434,0.6818,0.875,0.6462
|
||||
47,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877",0.987,0.7493,0.6872,0.8819,0.6513
|
||||
48,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171",0.9867,0.7464,0.6897,0.8649,0.6564
|
||||
49,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41",0.987,0.7478,0.6833,0.8873,0.6462
|
||||
50,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88",0.9863,0.7337,0.6717,0.8671,0.6359
|
||||
51,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439",0.987,0.7507,0.6911,0.8767,0.6564
|
||||
52,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823",0.9866,0.7381,0.6732,0.8794,0.6359
|
||||
53,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922",0.9869,0.7471,0.6865,0.8759,0.6513
|
||||
54,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582",0.9864,0.7359,0.6725,0.8732,0.6359
|
||||
55,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median",0.9864,0.7375,0.6764,0.8681,0.641
|
||||
56,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608",0.9869,0.7485,0.6904,0.8707,0.6564
|
||||
57,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925",0.9867,0.7418,0.6779,0.8803,0.641
|
||||
58,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665",0.9869,0.7485,0.6904,0.8707,0.6564
|
||||
59,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64",0.9872,0.7529,0.6919,0.8828,0.6564
|
||||
60,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269",0.9863,0.7321,0.6678,0.8723,0.6308
|
||||
61,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137",0.9869,0.744,0.6786,0.8865,0.641
|
||||
62,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274",0.9864,0.7359,0.6725,0.8732,0.6359
|
||||
63,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688",0.987,0.7493,0.6872,0.8819,0.6513
|
||||
64,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596",0.9863,0.7337,0.6717,0.8671,0.6359
|
||||
65,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220",0.9869,0.7471,0.6865,0.8759,0.6513
|
||||
66,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147",0.9861,0.73,0.667,0.8662,0.6308
|
||||
67,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460",0.9864,0.7375,0.6764,0.8681,0.641
|
||||
68,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579",0.986,0.7278,0.6663,0.8601,0.6308
|
||||
69,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711",0.9869,0.7485,0.6904,0.8707,0.6564
|
||||
70,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531",0.987,0.7507,0.6911,0.8767,0.6564
|
||||
71,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428",0.9867,0.7434,0.6818,0.875,0.6462
|
||||
72,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160",0.9867,0.7418,0.6779,0.8803,0.641
|
||||
73,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986",0.9866,0.7412,0.6811,0.869,0.6462
|
||||
74,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108",0.9866,0.7412,0.6811,0.869,0.6462
|
||||
75,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127",0.9867,0.7434,0.6818,0.875,0.6462
|
||||
76,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18",0.9866,0.7381,0.6732,0.8794,0.6359
|
||||
77,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296",0.9869,0.7471,0.6865,0.8759,0.6513
|
||||
78,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152",0.9863,0.7321,0.6678,0.8723,0.6308
|
||||
79,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0",0.9866,0.7412,0.6811,0.869,0.6462
|
||||
80,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676",0.9863,0.7353,0.6757,0.8621,0.641
|
||||
81,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475",0.9867,0.7403,0.6739,0.8857,0.6359
|
||||
82,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80",0.9867,0.7434,0.6818,0.875,0.6462
|
||||
83,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496",0.986,0.7294,0.6703,0.8552,0.6359
|
||||
84,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12",0.9867,0.7434,0.6818,0.875,0.6462
|
||||
85,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237",0.9867,0.7418,0.6779,0.8803,0.641
|
||||
86,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377",0.9867,0.7434,0.6818,0.875,0.6462
|
||||
87,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839",0.9867,0.7418,0.6779,0.8803,0.641
|
||||
88,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719",0.9863,0.7337,0.6717,0.8671,0.6359
|
||||
89,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20",0.9857,0.7202,0.6569,0.8582,0.6205
|
||||
90,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844",0.9864,0.7327,0.6645,0.8841,0.6256
|
||||
91,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889",0.9875,0.7574,0.6934,0.8951,0.6564
|
||||
92,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847",0.9869,0.7456,0.6826,0.8811,0.6462
|
||||
93,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249",0.9863,0.7337,0.6717,0.8671,0.6359
|
||||
94,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287",0.9861,0.73,0.667,0.8662,0.6308
|
||||
95,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912",0.9861,0.7284,0.663,0.8714,0.6256
|
||||
96,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863",0.9866,0.7381,0.6732,0.8794,0.6359
|
||||
97,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175",0.9857,0.7186,0.6529,0.8633,0.6154
|
||||
98,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449",0.9867,0.7434,0.6818,0.875,0.6462
|
||||
99,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537",0.9872,0.75,0.684,0.8936,0.6462
|
||||
100,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914",0.9864,0.739,0.6803,0.863,0.6462
|
||||
101,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383",0.987,0.7493,0.6872,0.8819,0.6513
|
||||
102,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46",0.9869,0.7471,0.6865,0.8759,0.6513
|
||||
103,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61",0.9867,0.7418,0.6779,0.8803,0.641
|
||||
104,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208",0.9864,0.7359,0.6725,0.8732,0.6359
|
||||
105,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909",0.9866,0.7381,0.6732,0.8794,0.6359
|
||||
106,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312",0.9863,0.7353,0.6757,0.8621,0.641
|
||||
107,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285",0.9863,0.7305,0.6638,0.8777,0.6256
|
||||
108,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65",0.9864,0.7343,0.6685,0.8786,0.6308
|
||||
109,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748",0.9864,0.7375,0.6764,0.8681,0.641
|
||||
110,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300",0.987,0.7493,0.6872,0.8819,0.6513
|
||||
111,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343",0.987,0.7493,0.6872,0.8819,0.6513
|
||||
112,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910",0.9866,0.7365,0.6692,0.8849,0.6308
|
||||
113,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736",0.987,0.7478,0.6833,0.8873,0.6462
|
||||
114,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406",0.9867,0.7434,0.6818,0.875,0.6462
|
||||
115,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407",0.9866,0.7412,0.6811,0.869,0.6462
|
||||
116,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917",0.986,0.7294,0.6703,0.8552,0.6359
|
||||
117,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95",0.9873,0.7522,0.6848,0.9,0.6462
|
||||
118,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516",0.9864,0.7359,0.6725,0.8732,0.6359
|
||||
119,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402",0.9866,0.7412,0.6811,0.869,0.6462
|
||||
120,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567",0.9863,0.7353,0.6757,0.8621,0.641
|
||||
121,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505",0.9861,0.7316,0.671,0.8611,0.6359
|
||||
122,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553",0.9861,0.7316,0.671,0.8611,0.6359
|
||||
123,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845",0.9864,0.7375,0.6764,0.8681,0.641
|
||||
124,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726",0.9866,0.7381,0.6732,0.8794,0.6359
|
||||
125,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112",0.9872,0.7529,0.6919,0.8828,0.6564
|
||||
126,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622",0.987,0.7507,0.6911,0.8767,0.6564
|
||||
127,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9",0.9863,0.7305,0.6638,0.8777,0.6256
|
||||
128,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944",0.9869,0.7471,0.6865,0.8759,0.6513
|
||||
129,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94",0.9866,0.7412,0.6811,0.869,0.6462
|
||||
130,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816",0.9864,0.7359,0.6725,0.8732,0.6359
|
||||
131,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866",0.986,0.7262,0.6623,0.8652,0.6256
|
||||
132,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191",0.9866,0.7396,0.6771,0.8741,0.641
|
||||
133,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93",0.9863,0.7337,0.6717,0.8671,0.6359
|
||||
134,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250",0.9864,0.7359,0.6725,0.8732,0.6359
|
||||
135,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800",0.9864,0.7343,0.6685,0.8786,0.6308
|
||||
136,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248",0.9866,0.7381,0.6732,0.8794,0.6359
|
||||
137,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619",0.9872,0.75,0.684,0.8936,0.6462
|
||||
138,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745",0.9867,0.7418,0.6779,0.8803,0.641
|
||||
139,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252",0.9869,0.744,0.6786,0.8865,0.641
|
||||
140,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552",0.9863,0.7337,0.6717,0.8671,0.6359
|
||||
141,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605",0.9861,0.73,0.667,0.8662,0.6308
|
||||
142,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230",0.9864,0.7359,0.6725,0.8732,0.6359
|
||||
143,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938",0.9867,0.7418,0.6779,0.8803,0.641
|
||||
144,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681",0.987,0.7447,0.6754,0.8986,0.6359
|
||||
145,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433",0.9858,0.7257,0.6656,0.8542,0.6308
|
||||
146,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400",0.987,0.7463,0.6793,0.8929,0.641
|
||||
147,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456",0.9858,0.724,0.6616,0.8592,0.6256
|
||||
148,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884",0.9867,0.7418,0.6779,0.8803,0.641
|
||||
149,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828",0.9864,0.7359,0.6725,0.8732,0.6359
|
||||
150,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717",0.987,0.7493,0.6872,0.8819,0.6513
|
||||
151,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170",0.9866,0.7396,0.6771,0.8741,0.641
|
||||
152,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768",0.9861,0.7284,0.663,0.8714,0.6256
|
||||
153,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725",0.9866,0.7396,0.6771,0.8741,0.641
|
||||
154,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812",0.9869,0.7456,0.6826,0.8811,0.6462
|
||||
155,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720",0.9869,0.7471,0.6865,0.8759,0.6513
|
||||
156,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733",0.9869,0.7471,0.6865,0.8759,0.6513
|
||||
157,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471",0.9864,0.7375,0.6764,0.8681,0.641
|
||||
158,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136",0.9864,0.7327,0.6645,0.8841,0.6256
|
||||
159,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821",0.9869,0.7485,0.6904,0.8707,0.6564
|
||||
160,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82",0.9863,0.7353,0.6757,0.8621,0.641
|
||||
161,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225",0.9866,0.7396,0.6771,0.8741,0.641
|
||||
162,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576",0.9864,0.7359,0.6725,0.8732,0.6359
|
||||
163,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722",0.9858,0.7273,0.6695,0.8493,0.6359
|
||||
164,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939",0.9864,0.7375,0.6764,0.8681,0.641
|
||||
165,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954",0.9863,0.7321,0.6678,0.8723,0.6308
|
||||
166,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988",0.9864,0.7327,0.6645,0.8841,0.6256
|
||||
167,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28",0.9866,0.7365,0.6692,0.8849,0.6308
|
||||
168,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280",0.9869,0.7456,0.6826,0.8811,0.6462
|
||||
169,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870",0.9863,0.7353,0.6757,0.8621,0.641
|
||||
170,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664",0.9861,0.7331,0.6749,0.8562,0.641
|
||||
171,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941",0.9866,0.7412,0.6811,0.869,0.6462
|
||||
172,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75",0.9861,0.7316,0.671,0.8611,0.6359
|
||||
173,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123",0.9867,0.7418,0.6779,0.8803,0.641
|
||||
174,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37",0.9861,0.7316,0.671,0.8611,0.6359
|
||||
175,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630",0.9866,0.7365,0.6692,0.8849,0.6308
|
||||
176,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180",0.9864,0.7405,0.6843,0.8581,0.6513
|
||||
177,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22",0.987,0.7463,0.6793,0.8929,0.641
|
||||
178,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929",0.9863,0.7305,0.6638,0.8777,0.6256
|
||||
179,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918",0.9866,0.7381,0.6732,0.8794,0.6359
|
||||
180,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419",0.9863,0.7321,0.6678,0.8723,0.6308
|
||||
181,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534",0.9863,0.7353,0.6757,0.8621,0.641
|
||||
182,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241",0.9869,0.744,0.6786,0.8865,0.641
|
||||
183,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468",0.9869,0.744,0.6786,0.8865,0.641
|
||||
184,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451",0.9861,0.7284,0.663,0.8714,0.6256
|
||||
185,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985",0.9861,0.7284,0.663,0.8714,0.6256
|
||||
186,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685",0.9864,0.7359,0.6725,0.8732,0.6359
|
||||
187,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796",0.9863,0.7353,0.6757,0.8621,0.641
|
||||
188,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802",0.9863,0.7337,0.6717,0.8671,0.6359
|
||||
189,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382",0.9867,0.7418,0.6779,0.8803,0.641
|
||||
190,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555",0.9864,0.7359,0.6725,0.8732,0.6359
|
||||
191,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797",0.9866,0.7412,0.6811,0.869,0.6462
|
||||
192,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735",0.9864,0.7327,0.6645,0.8841,0.6256
|
||||
193,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean",0.9861,0.7284,0.663,0.8714,0.6256
|
||||
194,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339",0.9864,0.7343,0.6685,0.8786,0.6308
|
||||
195,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214",0.9869,0.744,0.6786,0.8865,0.641
|
||||
196,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628",0.9869,0.7456,0.6826,0.8811,0.6462
|
||||
197,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865",0.9864,0.7375,0.6764,0.8681,0.641
|
||||
198,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81",0.9866,0.7381,0.6732,0.8794,0.6359
|
||||
199,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549",0.986,0.7246,0.6583,0.8705,0.6205
|
||||
200,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510",0.9866,0.7381,0.6732,0.8794,0.6359
|
||||
201,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960",0.986,0.7262,0.6623,0.8652,0.6256
|
||||
202,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182",0.9866,0.7381,0.6732,0.8794,0.6359
|
||||
203,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799",0.9869,0.7456,0.6826,0.8811,0.6462
|
||||
204,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232",0.9861,0.7284,0.663,0.8714,0.6256
|
||||
205,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86",0.9875,0.7545,0.6855,0.9065,0.6462
|
||||
206,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835",0.9869,0.7456,0.6826,0.8811,0.6462
|
||||
207,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342",0.9866,0.7365,0.6692,0.8849,0.6308
|
||||
208,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965",0.9869,0.7425,0.6746,0.8921,0.6359
|
||||
209,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856",0.9866,0.7396,0.6771,0.8741,0.641
|
||||
210,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134",0.9863,0.7353,0.6757,0.8621,0.641
|
||||
211,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357",0.9869,0.7425,0.6746,0.8921,0.6359
|
||||
212,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649",0.9864,0.7375,0.6764,0.8681,0.641
|
||||
213,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305",0.9864,0.7359,0.6725,0.8732,0.6359
|
||||
214,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712",0.9863,0.7353,0.6757,0.8621,0.641
|
||||
215,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721",0.9867,0.7449,0.6857,0.8699,0.6513
|
||||
216,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405",0.9863,0.7337,0.6717,0.8671,0.6359
|
||||
217,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530",0.9861,0.7284,0.663,0.8714,0.6256
|
||||
218,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422",0.9867,0.7434,0.6818,0.875,0.6462
|
||||
219,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431",0.9866,0.7396,0.6771,0.8741,0.641
|
||||
220,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335",0.9872,0.75,0.684,0.8936,0.6462
|
||||
221,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598",0.9861,0.73,0.667,0.8662,0.6308
|
||||
222,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786",0.9861,0.7284,0.663,0.8714,0.6256
|
||||
223,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833",0.9867,0.7418,0.6779,0.8803,0.641
|
||||
224,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282",0.987,0.7478,0.6833,0.8873,0.6462
|
||||
225,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871",0.9869,0.7456,0.6826,0.8811,0.6462
|
||||
226,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185",0.9866,0.7381,0.6732,0.8794,0.6359
|
||||
227,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764",0.9863,0.7337,0.6717,0.8671,0.6359
|
||||
228,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140",0.9867,0.7434,0.6818,0.875,0.6462
|
||||
229,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83",0.9864,0.7343,0.6685,0.8786,0.6308
|
||||
230,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757",0.9863,0.7368,0.6796,0.8571,0.6462
|
||||
231,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646",0.9863,0.7321,0.6678,0.8723,0.6308
|
||||
232,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819",0.9869,0.744,0.6786,0.8865,0.641
|
||||
233,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms",0.9863,0.7321,0.6678,0.8723,0.6308
|
||||
234,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393",0.9869,0.744,0.6786,0.8865,0.641
|
||||
235,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629",0.9864,0.7343,0.6685,0.8786,0.6308
|
||||
236,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33",0.9863,0.7305,0.6638,0.8777,0.6256
|
||||
237,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803",0.9861,0.7284,0.663,0.8714,0.6256
|
||||
238,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934",0.9861,0.7284,0.663,0.8714,0.6256
|
||||
239,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825",0.9869,0.7456,0.6826,0.8811,0.6462
|
||||
240,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311",0.9864,0.7359,0.6725,0.8732,0.6359
|
||||
241,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775",0.987,0.7478,0.6833,0.8873,0.6462
|
||||
242,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893",0.9869,0.7456,0.6826,0.8811,0.6462
|
||||
243,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624",0.9861,0.7284,0.663,0.8714,0.6256
|
||||
244,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71",0.987,0.7447,0.6754,0.8986,0.6359
|
||||
245,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663",0.9858,0.7257,0.6656,0.8542,0.6308
|
||||
246,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594",0.9867,0.7434,0.6818,0.875,0.6462
|
||||
247,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316",0.9863,0.7337,0.6717,0.8671,0.6359
|
||||
248,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420",0.9869,0.7456,0.6826,0.8811,0.6462
|
||||
249,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952",0.9866,0.7396,0.6771,0.8741,0.641
|
||||
250,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30",0.9861,0.7284,0.663,0.8714,0.6256
|
||||
251,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512",0.9863,0.7289,0.6598,0.8832,0.6205
|
||||
252,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589",0.9866,0.7381,0.6732,0.8794,0.6359
|
||||
253,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374",0.9866,0.7412,0.6811,0.869,0.6462
|
||||
254,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886",0.9869,0.75,0.6943,0.8658,0.6615
|
||||
255,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477",0.9863,0.7353,0.6757,0.8621,0.641
|
||||
256,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756",0.9867,0.7418,0.6779,0.8803,0.641
|
||||
257,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933",0.9858,0.7207,0.6536,0.8696,0.6154
|
||||
258,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301",0.9869,0.7485,0.6904,0.8707,0.6564
|
||||
259,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416",0.9863,0.7289,0.6598,0.8832,0.6205
|
||||
260,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656",0.9863,0.7289,0.6598,0.8832,0.6205
|
||||
261,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955",0.9861,0.7284,0.663,0.8714,0.6256
|
||||
262,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427",0.9869,0.7471,0.6865,0.8759,0.6513
|
||||
263,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882",0.9867,0.7449,0.6857,0.8699,0.6513
|
||||
264,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961",0.9861,0.7316,0.671,0.8611,0.6359
|
||||
265,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59",0.9866,0.7381,0.6732,0.8794,0.6359
|
||||
266,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187",0.9863,0.7337,0.6717,0.8671,0.6359
|
||||
267,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99",0.9864,0.7343,0.6685,0.8786,0.6308
|
||||
268,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533",0.9867,0.7418,0.6779,0.8803,0.641
|
||||
269,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369",0.9864,0.7359,0.6725,0.8732,0.6359
|
||||
270,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268",0.9863,0.7305,0.6638,0.8777,0.6256
|
||||
271,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1",0.9869,0.744,0.6786,0.8865,0.641
|
||||
272,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474",0.9869,0.7456,0.6826,0.8811,0.6462
|
||||
273,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915",0.9866,0.7396,0.6771,0.8741,0.641
|
||||
274,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244",0.9869,0.7471,0.6865,0.8759,0.6513
|
||||
275,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718",0.9866,0.7396,0.6771,0.8741,0.641
|
||||
276,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486",0.9867,0.7418,0.6779,0.8803,0.641
|
||||
277,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801",0.9866,0.7412,0.6811,0.869,0.6462
|
||||
278,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523",0.9864,0.739,0.6803,0.863,0.6462
|
||||
279,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141",0.9872,0.7515,0.688,0.8881,0.6513
|
||||
280,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540",0.9867,0.7464,0.6897,0.8649,0.6564
|
||||
281,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987",0.9867,0.7464,0.6897,0.8649,0.6564
|
||||
282,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434",0.9857,0.7186,0.6529,0.8633,0.6154
|
||||
283,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107",0.9863,0.7337,0.6717,0.8671,0.6359
|
||||
284,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502",0.9869,0.744,0.6786,0.8865,0.641
|
||||
285,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513",0.9861,0.7331,0.6749,0.8562,0.641
|
||||
286,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894",0.987,0.7493,0.6872,0.8819,0.6513
|
||||
287,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854",0.9866,0.7396,0.6771,0.8741,0.641
|
||||
288,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564",0.9872,0.7529,0.6919,0.8828,0.6564
|
||||
289,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547",0.986,0.7246,0.6583,0.8705,0.6205
|
||||
290,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421",0.9863,0.7337,0.6717,0.8671,0.6359
|
||||
291,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97",0.9858,0.7224,0.6576,0.8643,0.6205
|
||||
292,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883",0.9861,0.7347,0.6789,0.8514,0.6462
|
||||
293,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969",0.9867,0.7434,0.6818,0.875,0.6462
|
||||
294,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997",0.9866,0.7412,0.6811,0.869,0.6462
|
||||
295,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946",0.9866,0.7381,0.6732,0.8794,0.6359
|
||||
296,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396",0.9863,0.7305,0.6638,0.8777,0.6256
|
||||
297,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971",0.9869,0.7471,0.6865,0.8759,0.6513
|
||||
298,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317",0.9864,0.7359,0.6725,0.8732,0.6359
|
||||
299,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691",0.9858,0.7257,0.6656,0.8542,0.6308
|
||||
300,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670",0.9872,0.7515,0.688,0.8881,0.6513
|
||||
301,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561",0.9872,0.7558,0.6997,0.8725,0.6667
|
||||
302,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290",0.9873,0.7522,0.6848,0.9,0.6462
|
||||
303,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559",0.9863,0.7289,0.6598,0.8832,0.6205
|
||||
304,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506",0.9864,0.7375,0.6764,0.8681,0.641
|
||||
305,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352",0.9867,0.7387,0.6699,0.8913,0.6308
|
||||
306,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869",0.9866,0.7396,0.6771,0.8741,0.641
|
||||
307,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378",0.9863,0.7321,0.6678,0.8723,0.6308
|
||||
308,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643",0.9867,0.7403,0.6739,0.8857,0.6359
|
||||
309,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680",0.987,0.7478,0.6833,0.8873,0.6462
|
||||
310,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977",0.986,0.7262,0.6623,0.8652,0.6256
|
||||
311,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846",0.9872,0.7515,0.688,0.8881,0.6513
|
||||
312,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243",0.9864,0.7343,0.6685,0.8786,0.6308
|
||||
313,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199",0.9867,0.7418,0.6779,0.8803,0.641
|
||||
314,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851",0.9873,0.7537,0.6887,0.8944,0.6513
|
||||
315,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462",0.9867,0.7387,0.6699,0.8913,0.6308
|
||||
316,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558",0.9864,0.7343,0.6685,0.8786,0.6308
|
||||
317,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730",0.9864,0.7327,0.6645,0.8841,0.6256
|
||||
318,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805",0.9869,0.744,0.6786,0.8865,0.641
|
||||
319,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984",0.986,0.7278,0.6663,0.8601,0.6308
|
||||
320,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761",0.9873,0.7552,0.6926,0.8889,0.6564
|
||||
321,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834",0.9866,0.7396,0.6771,0.8741,0.641
|
||||
322,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363",0.9866,0.7396,0.6771,0.8741,0.641
|
||||
323,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21",0.9863,0.7305,0.6638,0.8777,0.6256
|
||||
324,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106",0.9864,0.7375,0.6764,0.8681,0.641
|
||||
325,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389",0.9864,0.7343,0.6685,0.8786,0.6308
|
||||
326,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148",0.9867,0.7387,0.6699,0.8913,0.6308
|
||||
327,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641",0.9869,0.744,0.6786,0.8865,0.641
|
||||
328,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974",0.986,0.7262,0.6623,0.8652,0.6256
|
||||
329,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916",0.9869,0.744,0.6786,0.8865,0.641
|
||||
330,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186",0.9869,0.7471,0.6865,0.8759,0.6513
|
||||
331,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308",0.9866,0.7396,0.6771,0.8741,0.641
|
||||
332,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497",0.9861,0.73,0.667,0.8662,0.6308
|
||||
333,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314",0.9863,0.7305,0.6638,0.8777,0.6256
|
||||
334,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426",0.9863,0.7337,0.6717,0.8671,0.6359
|
||||
335,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660",0.987,0.7493,0.6872,0.8819,0.6513
|
||||
336,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376",0.9864,0.7359,0.6725,0.8732,0.6359
|
||||
337,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616",0.9867,0.7387,0.6699,0.8913,0.6308
|
||||
338,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6",0.9872,0.7529,0.6919,0.8828,0.6564
|
||||
339,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808",0.9875,0.7588,0.6973,0.8897,0.6615
|
||||
340,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264",0.9869,0.7425,0.6746,0.8921,0.6359
|
||||
341,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607",0.9869,0.744,0.6786,0.8865,0.641
|
||||
342,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545",0.987,0.7493,0.6872,0.8819,0.6513
|
||||
343,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697",0.9867,0.7418,0.6779,0.8803,0.641
|
||||
344,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222",0.9866,0.7381,0.6732,0.8794,0.6359
|
||||
345,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538",0.9867,0.7418,0.6779,0.8803,0.641
|
||||
346,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69",0.9864,0.7327,0.6645,0.8841,0.6256
|
||||
347,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258",0.987,0.7463,0.6793,0.8929,0.641
|
||||
348,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766",0.9858,0.7257,0.6656,0.8542,0.6308
|
||||
349,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980",0.986,0.7246,0.6583,0.8705,0.6205
|
||||
350,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957",0.9872,0.7485,0.6801,0.8993,0.641
|
||||
351,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183",0.987,0.7493,0.6872,0.8819,0.6513
|
||||
352,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762",0.987,0.7463,0.6793,0.8929,0.641
|
||||
353,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271",0.9863,0.7321,0.6678,0.8723,0.6308
|
||||
354,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375",0.9861,0.7284,0.663,0.8714,0.6256
|
||||
355,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815",0.9861,0.7267,0.659,0.8768,0.6205
|
||||
356,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804",0.9866,0.7365,0.6692,0.8849,0.6308
|
||||
357,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750",0.9867,0.7403,0.6739,0.8857,0.6359
|
||||
358,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379",0.9866,0.7365,0.6692,0.8849,0.6308
|
||||
359,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463",0.9864,0.7359,0.6725,0.8732,0.6359
|
||||
360,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38",0.9867,0.7403,0.6739,0.8857,0.6359
|
||||
361,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122",0.9867,0.7387,0.6699,0.8913,0.6308
|
||||
362,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255",0.9872,0.7485,0.6801,0.8993,0.641
|
||||
363,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443",0.9864,0.7375,0.6764,0.8681,0.641
|
||||
364,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782",0.9869,0.7471,0.6865,0.8759,0.6513
|
||||
365,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694",0.9869,0.7456,0.6826,0.8811,0.6462
|
||||
366,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239",0.9866,0.7396,0.6771,0.8741,0.641
|
||||
367,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103",0.9864,0.7359,0.6725,0.8732,0.6359
|
||||
368,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613",0.9863,0.7305,0.6638,0.8777,0.6256
|
||||
369,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409",0.9864,0.7359,0.6725,0.8732,0.6359
|
||||
370,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849",0.9864,0.7359,0.6725,0.8732,0.6359
|
||||
371,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975",0.9867,0.7434,0.6818,0.875,0.6462
|
||||
372,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8",0.986,0.7246,0.6583,0.8705,0.6205
|
||||
373,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958",0.987,0.7463,0.6793,0.8929,0.641
|
||||
374,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411",0.9872,0.7515,0.688,0.8881,0.6513
|
||||
375,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751",0.9866,0.7396,0.6771,0.8741,0.641
|
||||
376,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737",0.9867,0.7449,0.6857,0.8699,0.6513
|
||||
377,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181",0.987,0.7493,0.6872,0.8819,0.6513
|
||||
378,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66",0.9869,0.7485,0.6904,0.8707,0.6564
|
||||
379,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515",0.9861,0.7316,0.671,0.8611,0.6359
|
||||
380,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306",0.9866,0.7412,0.6811,0.869,0.6462
|
||||
381,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217",0.9863,0.7321,0.6678,0.8723,0.6308
|
||||
382,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793",0.987,0.7507,0.6911,0.8767,0.6564
|
||||
383,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638",0.9861,0.7234,0.651,0.8881,0.6103
|
||||
384,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57",0.9872,0.7529,0.6919,0.8828,0.6564
|
||||
385,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740",0.9858,0.724,0.6616,0.8592,0.6256
|
||||
386,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743",0.9867,0.7449,0.6857,0.8699,0.6513
|
||||
387,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322",0.9867,0.7403,0.6739,0.8857,0.6359
|
||||
388,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747",0.9861,0.7284,0.663,0.8714,0.6256
|
||||
389,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499",0.9861,0.7284,0.663,0.8714,0.6256
|
||||
390,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731",0.9869,0.7471,0.6865,0.8759,0.6513
|
||||
391,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261",0.9864,0.7359,0.6725,0.8732,0.6359
|
||||
392,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659",0.9869,0.7425,0.6746,0.8921,0.6359
|
||||
393,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811",0.9869,0.7471,0.6865,0.8759,0.6513
|
||||
394,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215",0.9863,0.7305,0.6638,0.8777,0.6256
|
||||
395,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240",0.9863,0.7321,0.6678,0.8723,0.6308
|
||||
396,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899",0.9867,0.7418,0.6779,0.8803,0.641
|
||||
397,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254",0.9867,0.7418,0.6779,0.8803,0.641
|
||||
398,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359",0.9866,0.7412,0.6811,0.869,0.6462
|
||||
399,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67",0.9869,0.7471,0.6865,0.8759,0.6513
|
||||
400,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813",0.986,0.7278,0.6663,0.8601,0.6308
|
||||
401,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455",0.9861,0.7267,0.659,0.8768,0.6205
|
||||
402,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16",0.9867,0.7418,0.6779,0.8803,0.641
|
||||
403,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820",0.9867,0.7434,0.6818,0.875,0.6462
|
||||
404,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645",0.987,0.7493,0.6872,0.8819,0.6513
|
||||
405,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995",0.9864,0.7327,0.6645,0.8841,0.6256
|
||||
406,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943",0.9869,0.7425,0.6746,0.8921,0.6359
|
||||
407,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202",0.9869,0.7471,0.6865,0.8759,0.6513
|
||||
408,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830",0.9866,0.7349,0.6652,0.8905,0.6256
|
||||
409,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11",0.9864,0.7359,0.6725,0.8732,0.6359
|
||||
410,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366",0.9869,0.7471,0.6865,0.8759,0.6513
|
||||
411,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161",0.9861,0.7267,0.659,0.8768,0.6205
|
||||
412,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536",0.9857,0.7186,0.6529,0.8633,0.6154
|
||||
413,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234",0.9869,0.741,0.6707,0.8978,0.6308
|
||||
414,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218",0.9866,0.7381,0.6732,0.8794,0.6359
|
||||
415,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133",0.9866,0.7396,0.6771,0.8741,0.641
|
||||
416,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543",0.9866,0.7381,0.6732,0.8794,0.6359
|
||||
417,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281",0.9861,0.7316,0.671,0.8611,0.6359
|
||||
418,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42",0.9863,0.7305,0.6638,0.8777,0.6256
|
||||
419,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124",0.9861,0.7284,0.663,0.8714,0.6256
|
||||
420,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31",0.9861,0.7316,0.671,0.8611,0.6359
|
||||
421,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226",0.9864,0.7375,0.6764,0.8681,0.641
|
||||
422,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881",0.9863,0.7353,0.6757,0.8621,0.641
|
||||
423,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771",0.987,0.7493,0.6872,0.8819,0.6513
|
||||
424,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313",0.9861,0.73,0.667,0.8662,0.6308
|
||||
425,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231",0.9864,0.7343,0.6685,0.8786,0.6308
|
||||
426,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968",0.9861,0.7284,0.663,0.8714,0.6256
|
||||
427,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360",0.9867,0.7403,0.6739,0.8857,0.6359
|
||||
428,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535",0.9866,0.7349,0.6652,0.8905,0.6256
|
||||
429,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570",0.9864,0.7343,0.6685,0.8786,0.6308
|
||||
430,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303",0.9869,0.7425,0.6746,0.8921,0.6359
|
||||
431,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113",0.987,0.7507,0.6911,0.8767,0.6564
|
||||
432,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179",0.9869,0.744,0.6786,0.8865,0.641
|
||||
433,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700",0.9866,0.7349,0.6652,0.8905,0.6256
|
||||
434,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392",0.9867,0.7418,0.6779,0.8803,0.641
|
||||
435,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945",0.9867,0.7403,0.6739,0.8857,0.6359
|
||||
436,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949",0.9872,0.7515,0.688,0.8881,0.6513
|
||||
437,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895",0.9867,0.7418,0.6779,0.8803,0.641
|
||||
438,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132",0.9869,0.7485,0.6904,0.8707,0.6564
|
||||
439,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329",0.9867,0.7403,0.6739,0.8857,0.6359
|
||||
440,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890",0.987,0.7493,0.6872,0.8819,0.6513
|
||||
441,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89",0.987,0.7493,0.6872,0.8819,0.6513
|
||||
442,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493",0.9872,0.7529,0.6919,0.8828,0.6564
|
||||
443,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233",0.9873,0.7552,0.6926,0.8889,0.6564
|
||||
444,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344",0.9863,0.7273,0.6557,0.8889,0.6154
|
||||
445,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872",0.9872,0.7485,0.6801,0.8993,0.641
|
||||
446,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872, x384",0.9861,0.7284,0.663,0.8714,0.6256
|
||||
447,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872, x384, x129",0.9869,0.7456,0.6826,0.8811,0.6462
|
||||
448,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872, x384, x129, x996",0.9863,0.7368,0.6796,0.8571,0.6462
|
||||
449,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872, x384, x129, x996, x631",0.9861,0.7331,0.6749,0.8562,0.641
|
||||
450,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872, x384, x129, x996, x631, x370",0.987,0.7478,0.6833,0.8873,0.6462
|
||||
451,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872, x384, x129, x996, x631, x370, x621",0.9872,0.7515,0.688,0.8881,0.6513
|
||||
452,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872, x384, x129, x996, x631, x370, x621, x216",0.9866,0.7396,0.6771,0.8741,0.641
|
||||
453,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872, x384, x129, x996, x631, x370, x621, x216, x87",0.986,0.7262,0.6623,0.8652,0.6256
|
||||
454,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872, x384, x129, x996, x631, x370, x621, x216, x87, x565",0.9864,0.7375,0.6764,0.8681,0.641
|
||||
455,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872, x384, x129, x996, x631, x370, x621, x216, x87, x565, x49",0.9864,0.7343,0.6685,0.8786,0.6308
|
||||
456,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872, x384, x129, x996, x631, x370, x621, x216, x87, x565, x49, x72",0.9869,0.741,0.6707,0.8978,0.6308
|
||||
457,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872, x384, x129, x996, x631, x370, x621, x216, x87, x565, x49, x72, x857",0.9866,0.7365,0.6692,0.8849,0.6308
|
||||
458,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872, x384, x129, x996, x631, x370, x621, x216, x87, x565, x49, x72, x857, x472",0.9866,0.7381,0.6732,0.8794,0.6359
|
||||
459,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872, x384, x129, x996, x631, x370, x621, x216, x87, x565, x49, x72, x857, x472, x494",0.9861,0.73,0.667,0.8662,0.6308
|
||||
460,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872, x384, x129, x996, x631, x370, x621, x216, x87, x565, x49, x72, x857, x472, x494, x634",0.9861,0.73,0.667,0.8662,0.6308
|
||||
461,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872, x384, x129, x996, x631, x370, x621, x216, x87, x565, x49, x72, x857, x472, x494, x634, x609",0.9864,0.7343,0.6685,0.8786,0.6308
|
||||
462,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872, x384, x129, x996, x631, x370, x621, x216, x87, x565, x49, x72, x857, x472, x494, x634, x609, x110",0.9866,0.7381,0.6732,0.8794,0.6359
|
||||
463,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872, x384, x129, x996, x631, x370, x621, x216, x87, x565, x49, x72, x857, x472, x494, x634, x609, x110, x674",0.9864,0.7343,0.6685,0.8786,0.6308
|
||||
464,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872, x384, x129, x996, x631, x370, x621, x216, x87, x565, x49, x72, x857, x472, x494, x634, x609, x110, x674, x102",0.9864,0.7375,0.6764,0.8681,0.641
|
||||
465,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872, x384, x129, x996, x631, x370, x621, x216, x87, x565, x49, x72, x857, x472, x494, x634, x609, x110, x674, x102, x879",0.9867,0.7434,0.6818,0.875,0.6462
|
||||
466,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872, x384, x129, x996, x631, x370, x621, x216, x87, x565, x49, x72, x857, x472, x494, x634, x609, x110, x674, x102, x879, x399",0.9864,0.7359,0.6725,0.8732,0.6359
|
||||
467,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872, x384, x129, x996, x631, x370, x621, x216, x87, x565, x49, x72, x857, x472, x494, x634, x609, x110, x674, x102, x879, x399, x964",0.9866,0.7349,0.6652,0.8905,0.6256
|
||||
468,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872, x384, x129, x996, x631, x370, x621, x216, x87, x565, x49, x72, x857, x472, x494, x634, x609, x110, x674, x102, x879, x399, x964, x190",0.9869,0.744,0.6786,0.8865,0.641
|
||||
469,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872, x384, x129, x996, x631, x370, x621, x216, x87, x565, x49, x72, x857, x472, x494, x634, x609, x110, x674, x102, x879, x399, x964, x190, x452",0.9867,0.7449,0.6857,0.8699,0.6513
|
||||
470,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872, x384, x129, x996, x631, x370, x621, x216, x87, x565, x49, x72, x857, x472, x494, x634, x609, x110, x674, x102, x879, x399, x964, x190, x452, x447",0.9867,0.7418,0.6779,0.8803,0.641
|
||||
471,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872, x384, x129, x996, x631, x370, x621, x216, x87, x565, x49, x72, x857, x472, x494, x634, x609, x110, x674, x102, x879, x399, x964, x190, x452, x447, x371",0.9861,0.7284,0.663,0.8714,0.6256
|
||||
472,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872, x384, x129, x996, x631, x370, x621, x216, x87, x565, x49, x72, x857, x472, x494, x634, x609, x110, x674, x102, x879, x399, x964, x190, x452, x447, x371, x227",0.9866,0.7381,0.6732,0.8794,0.6359
|
||||
473,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872, x384, x129, x996, x631, x370, x621, x216, x87, x565, x49, x72, x857, x472, x494, x634, x609, x110, x674, x102, x879, x399, x964, x190, x452, x447, x371, x227, x862",0.986,0.7262,0.6623,0.8652,0.6256
|
||||
474,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872, x384, x129, x996, x631, x370, x621, x216, x87, x565, x49, x72, x857, x472, x494, x634, x609, x110, x674, x102, x879, x399, x964, x190, x452, x447, x371, x227, x862, x267",0.9864,0.7343,0.6685,0.8786,0.6308
|
||||
475,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872, x384, x129, x996, x631, x370, x621, x216, x87, x565, x49, x72, x857, x472, x494, x634, x609, x110, x674, x102, x879, x399, x964, x190, x452, x447, x371, x227, x862, x267, x44",0.9866,0.7381,0.6732,0.8794,0.6359
|
||||
476,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872, x384, x129, x996, x631, x370, x621, x216, x87, x565, x49, x72, x857, x472, x494, x634, x609, x110, x674, x102, x879, x399, x964, x190, x452, x447, x371, x227, x862, x267, x44, x291",0.9867,0.7372,0.6659,0.8971,0.6256
|
||||
477,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872, x384, x129, x996, x631, x370, x621, x216, x87, x565, x49, x72, x857, x472, x494, x634, x609, x110, x674, x102, x879, x399, x964, x190, x452, x447, x371, x227, x862, x267, x44, x291, x841",0.9872,0.7515,0.688,0.8881,0.6513
|
||||
478,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872, x384, x129, x996, x631, x370, x621, x216, x87, x565, x49, x72, x857, x472, x494, x634, x609, x110, x674, x102, x879, x399, x964, x190, x452, x447, x371, x227, x862, x267, x44, x291, x841, x778",0.9866,0.7365,0.6692,0.8849,0.6308
|
||||
479,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872, x384, x129, x996, x631, x370, x621, x216, x87, x565, x49, x72, x857, x472, x494, x634, x609, x110, x674, x102, x879, x399, x964, x190, x452, x447, x371, x227, x862, x267, x44, x291, x841, x778, x998",0.9864,0.739,0.6803,0.863,0.6462
|
||||
480,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872, x384, x129, x996, x631, x370, x621, x216, x87, x565, x49, x72, x857, x472, x494, x634, x609, x110, x674, x102, x879, x399, x964, x190, x452, x447, x371, x227, x862, x267, x44, x291, x841, x778, x998, x178",0.9873,0.7508,0.6808,0.9058,0.641
|
||||
481,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872, x384, x129, x996, x631, x370, x621, x216, x87, x565, x49, x72, x857, x472, x494, x634, x609, x110, x674, x102, x879, x399, x964, x190, x452, x447, x371, x227, x862, x267, x44, x291, x841, x778, x998, x178, x684",0.9857,0.7202,0.6569,0.8582,0.6205
|
||||
482,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872, x384, x129, x996, x631, x370, x621, x216, x87, x565, x49, x72, x857, x472, x494, x634, x609, x110, x674, x102, x879, x399, x964, x190, x452, x447, x371, x227, x862, x267, x44, x291, x841, x778, x998, x178, x684, x936",0.987,0.7478,0.6833,0.8873,0.6462
|
||||
483,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872, x384, x129, x996, x631, x370, x621, x216, x87, x565, x49, x72, x857, x472, x494, x634, x609, x110, x674, x102, x879, x399, x964, x190, x452, x447, x371, x227, x862, x267, x44, x291, x841, x778, x998, x178, x684, x936, x837",0.9863,0.7305,0.6638,0.8777,0.6256
|
||||
484,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872, x384, x129, x996, x631, x370, x621, x216, x87, x565, x49, x72, x857, x472, x494, x634, x609, x110, x674, x102, x879, x399, x964, x190, x452, x447, x371, x227, x862, x267, x44, x291, x841, x778, x998, x178, x684, x936, x837, x581",0.9864,0.7359,0.6725,0.8732,0.6359
|
||||
485,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872, x384, x129, x996, x631, x370, x621, x216, x87, x565, x49, x72, x857, x472, x494, x634, x609, x110, x674, x102, x879, x399, x964, x190, x452, x447, x371, x227, x862, x267, x44, x291, x841, x778, x998, x178, x684, x936, x837, x581, x125",0.9869,0.7456,0.6826,0.8811,0.6462
|
||||
486,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872, x384, x129, x996, x631, x370, x621, x216, x87, x565, x49, x72, x857, x472, x494, x634, x609, x110, x674, x102, x879, x399, x964, x190, x452, x447, x371, x227, x862, x267, x44, x291, x841, x778, x998, x178, x684, x936, x837, x581, x125, x887",0.9863,0.7337,0.6717,0.8671,0.6359
|
||||
487,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872, x384, x129, x996, x631, x370, x621, x216, x87, x565, x49, x72, x857, x472, x494, x634, x609, x110, x674, x102, x879, x399, x964, x190, x452, x447, x371, x227, x862, x267, x44, x291, x841, x778, x998, x178, x684, x936, x837, x581, x125, x887, x63",0.9866,0.7365,0.6692,0.8849,0.6308
|
||||
488,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872, x384, x129, x996, x631, x370, x621, x216, x87, x565, x49, x72, x857, x472, x494, x634, x609, x110, x674, x102, x879, x399, x964, x190, x452, x447, x371, x227, x862, x267, x44, x291, x841, x778, x998, x178, x684, x936, x837, x581, x125, x887, x63, x211",0.9869,0.7485,0.6904,0.8707,0.6564
|
||||
489,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872, x384, x129, x996, x631, x370, x621, x216, x87, x565, x49, x72, x857, x472, x494, x634, x609, x110, x674, x102, x879, x399, x964, x190, x452, x447, x371, x227, x862, x267, x44, x291, x841, x778, x998, x178, x684, x936, x837, x581, x125, x887, x63, x211, x511",0.987,0.7447,0.6754,0.8986,0.6359
|
||||
490,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872, x384, x129, x996, x631, x370, x621, x216, x87, x565, x49, x72, x857, x472, x494, x634, x609, x110, x674, x102, x879, x399, x964, x190, x452, x447, x371, x227, x862, x267, x44, x291, x841, x778, x998, x178, x684, x936, x837, x581, x125, x887, x63, x211, x511, x852",0.9866,0.7381,0.6732,0.8794,0.6359
|
||||
491,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872, x384, x129, x996, x631, x370, x621, x216, x87, x565, x49, x72, x857, x472, x494, x634, x609, x110, x674, x102, x879, x399, x964, x190, x452, x447, x371, x227, x862, x267, x44, x291, x841, x778, x998, x178, x684, x936, x837, x581, x125, x887, x63, x211, x511, x852, x655",0.9864,0.7359,0.6725,0.8732,0.6359
|
||||
492,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872, x384, x129, x996, x631, x370, x621, x216, x87, x565, x49, x72, x857, x472, x494, x634, x609, x110, x674, x102, x879, x399, x964, x190, x452, x447, x371, x227, x862, x267, x44, x291, x841, x778, x998, x178, x684, x936, x837, x581, x125, x887, x63, x211, x511, x852, x655, x926",0.9867,0.7449,0.6857,0.8699,0.6513
|
||||
493,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872, x384, x129, x996, x631, x370, x621, x216, x87, x565, x49, x72, x857, x472, x494, x634, x609, x110, x674, x102, x879, x399, x964, x190, x452, x447, x371, x227, x862, x267, x44, x291, x841, x778, x998, x178, x684, x936, x837, x581, x125, x887, x63, x211, x511, x852, x655, x926, x501",0.9866,0.7412,0.6811,0.869,0.6462
|
||||
494,"time_ptp, time_kurtosis, time_skew, acf_mean_abs, freq_top1_amp, time_range_ratio, acf_integral_time, ar_r2, time_min, freq_centroid, acf_val_dom, freq_peak_freq, freq_bandwidth, time_std, acf_time_decay, freq_median_freq, freq_top1_freq, time_var, ar_resid_var, time_iqr, freq_rolloff_95, freq_entropy, x633, ar1_coef, x229, time_max, x330, time_p25, time_p95, x373, x752, x166, time_p5, x39, x636, time_p75, x661, x546, x838, x10, x521, x843, x755, x346, x999, x993, x877, x171, x41, x88, x439, x823, x922, x582, time_median, x608, x925, x665, x64, x269, x137, x274, x688, x596, x220, x147, x460, x579, x711, x531, x428, x160, x986, x108, x127, x18, x296, x152, x0, x676, x475, x80, x496, x12, x237, x377, x839, x719, x20, x844, x889, x847, x249, x287, x912, x863, x175, x449, x537, x914, x383, x46, x61, x208, x909, x312, x285, x65, x748, x300, x343, x910, x736, x406, x407, x917, x95, x516, x402, x567, x505, x553, x845, x726, x112, x622, x9, x944, x94, x816, x866, x191, x93, x250, x800, x248, x619, x745, x252, x552, x605, x230, x938, x681, x433, x400, x456, x884, x828, x717, x170, x768, x725, x812, x720, x733, x471, x136, x821, x82, x225, x576, x722, x939, x954, x988, x28, x280, x870, x664, x941, x75, x123, x37, x630, x180, x22, x929, x918, x419, x534, x241, x468, x451, x985, x685, x796, x802, x382, x555, x797, x735, time_mean, x339, x214, x628, x865, x81, x549, x510, x960, x182, x799, x232, x86, x835, x342, x965, x856, x134, x357, x649, x305, x712, x721, x405, x530, x422, x431, x335, x598, x786, x833, x282, x871, x185, x764, x140, x83, x757, x646, x819, time_rms, x393, x629, x33, x803, x934, x825, x311, x775, x893, x624, x71, x663, x594, x316, x420, x952, x30, x512, x589, x374, x886, x477, x756, x933, x301, x416, x656, x955, x427, x882, x961, x59, x187, x99, x533, x369, x268, x1, x474, x915, x244, x718, x486, x801, x523, x141, x540, x987, x434, x107, x502, x513, x894, x854, x564, x547, x421, x97, x883, x969, x997, x946, x396, x971, x317, x691, x670, x561, x290, x559, x506, x352, x869, x378, x643, x680, x977, x846, x243, x199, x851, x462, x558, x730, x805, x984, x761, x834, x363, x21, x106, x389, x148, x641, x974, x916, x186, x308, x497, x314, x426, x660, x376, x616, x6, x808, x264, x607, x545, x697, x222, x538, x69, x258, x766, x980, x957, x183, x762, x271, x375, x815, x804, x750, x379, x463, x38, x122, x255, x443, x782, x694, x239, x103, x613, x409, x849, x975, x8, x958, x411, x751, x737, x181, x66, x515, x306, x217, x793, x638, x57, x740, x743, x322, x747, x499, x731, x261, x659, x811, x215, x240, x899, x254, x359, x67, x813, x455, x16, x820, x645, x995, x943, x202, x830, x11, x366, x161, x536, x234, x218, x133, x543, x281, x42, x124, x31, x226, x881, x771, x313, x231, x968, x360, x535, x570, x303, x113, x179, x700, x392, x945, x949, x895, x132, x329, x890, x89, x493, x233, x344, x872, x384, x129, x996, x631, x370, x621, x216, x87, x565, x49, x72, x857, x472, x494, x634, x609, x110, x674, x102, x879, x399, x964, x190, x452, x447, x371, x227, x862, x267, x44, x291, x841, x778, x998, x178, x684, x936, x837, x581, x125, x887, x63, x211, x511, x852, x655, x926, x501, x53",0.9864,0.7359,0.6725,0.8732,0.6359
|
||||
|
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features.pdf
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lightgbm_tuning_results.csv
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lightgbm_tuning_results.csv
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|
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model,scaling_method,sampling_method,boosting_type,learning_rate,num_leaves,l2_reg,l1_reg,tree_subsample,subsample,k_neighbors,kmeans_estimator,accuracy,f1_macro,f2_macro,recall_macro,precision_macro,f1_class0,f2_class0,recall_class0,precision_class0,f1_class1,f2_class1,recall_class1,precision_class1,TP,TN,FP,FN
|
||||
lightgbm,standard_scaling,KMeansSMOTE,gbdt,0.03,100,0.1,0.1,0.8,0.8,10,5,0.9872871528817676,0.8635827226233982,0.82363889290808,0.8019139194786398,0.9607516165514827,0.9934880771322151,0.9966119285054977,0.9987055323856977,0.9883253364382266,0.7336773681145814,0.6506658573106621,0.605122306571582,0.9331778966647388,97.8,5400.6,7.0,63.8
|
||||
lightgbm,standard_scaling,KMeansSMOTE,gbdt,0.03,100,0.1,0.1,0.8,1.0,10,5,0.9873948857051393,0.8660654376430875,0.8278053873421346,0.8067827329934085,0.9571174874451384,0.9935416656406844,0.9965229981920896,0.9985206074636975,0.9886125885446072,0.7385892096454906,0.6590877764921795,0.6150448585231194,0.9256223863456696,99.4,5399.6,8.0,62.2
|
||||
lightgbm,standard_scaling,KMeansSMOTE,gbdt,0.03,100,0.1,0.1,1.0,0.8,10,5,0.9872871270913975,0.8636064344844797,0.8240482741313839,0.8025088748233425,0.9596889613355953,0.9934880088638021,0.9965897765183312,0.9986685432974788,0.9883616207181698,0.7337248601051574,0.6515067717444367,0.6063492063492064,0.9310163019530208,98.0,5400.4,7.2,63.6
|
||||
lightgbm,standard_scaling,KMeansSMOTE,gbdt,0.03,100,0.1,0.1,1.0,1.0,10,5,0.9871434811777045,0.863449771888091,0.8256341947711338,0.8048454076194018,0.9533828520533423,0.9934127773860718,0.9963827135574705,0.9983726647902182,0.9885024551041862,0.7334867663901103,0.6548856759847967,0.6113181504485852,0.9182632490024984,98.8,5398.8,8.8,62.8
|
||||
lightgbm,standard_scaling,KMeansSMOTE,gbdt,0.05,100,0.1,0.1,0.8,0.8,10,5,0.987358998405188,0.8658212328853709,0.8277045950376559,0.8067604078073429,0.9566247977036533,0.9935230811207543,0.9964934015324072,0.998483625215177,0.9886121814446716,0.7381193846499876,0.6589157885429044,0.6150371903995093,0.9246374139626351,99.4,5399.4,8.2,62.2
|
||||
lightgbm,standard_scaling,KMeansSMOTE,gbdt,0.05,100,0.1,0.1,0.8,1.0,10,5,0.9876462902325743,0.8702280820945317,0.8337605692544805,0.8135218826445911,0.9553624954113376,0.9936685848798849,0.9964855981899191,0.9983726511108216,0.9890093876458101,0.7467875793091783,0.6710355403190421,0.6286711141783605,0.9217156031768651,101.6,5398.8,8.8,60.0
|
||||
lightgbm,standard_scaling,KMeansSMOTE,gbdt,0.05,100,0.1,0.1,1.0,0.8,10,5,0.9876103706946605,0.8685306532899453,0.8303217288431941,0.8092965157481593,0.9592309417836985,0.9936518407305781,0.9966115244112512,0.9985945651210407,0.9887583083957047,0.7434094658493124,0.6640319332751371,0.619998466375278,0.9297035751716924,100.2,5400.0,7.6,61.4
|
||||
lightgbm,standard_scaling,KMeansSMOTE,gbdt,0.05,100,0.1,0.1,1.0,1.0,10,5,0.9875744640519315,0.8697383859570031,0.8335824387321773,0.8134887344578754,0.9538702717550708,0.993631447606049,0.9964264483135749,0.9982986866137802,0.9890083881850659,0.7458453243079577,0.6707384291507799,0.6286787823019708,0.9187321553250758,101.6,5398.4,9.2,60.0
|
||||
lightgbm,standard_scaling,KMeansSMOTE,gbdt,0.1,100,0.1,0.1,0.8,0.8,10,5,0.9876463031277595,0.8696452935291772,0.832345622530247,0.8117216735235644,0.9573224840422384,0.9936693371232203,0.99655223796351,0.9984836046960821,0.988901862104868,0.7456212499351342,0.6681390070969839,0.6249597423510467,0.9257431059796088,101.0,5399.4,8.2,60.6
|
||||
lightgbm,standard_scaling,KMeansSMOTE,gbdt,0.1,100,0.1,0.1,0.8,1.0,10,5,0.9879335756123682,0.8735142470990855,0.8373885067575266,0.81727407420208,0.9572776440521376,0.9938154842661611,0.9965889028545231,0.9984466224475614,0.9892278794141068,0.7532130099320097,0.6781881106605302,0.6361015259565985,0.9253274086901682,102.8,5399.2,8.4,58.8
|
||||
lightgbm,standard_scaling,KMeansSMOTE,gbdt,0.1,100,0.1,0.1,1.0,0.8,10,5,0.9874667118857822,0.8680481539924493,0.8317553825774301,0.8116330485442184,0.9529694195282257,0.993576898041232,0.9964044843956639,0.9982986866137802,0.9889004742854578,0.7425194099436665,0.6671062807591965,0.6249674104746569,0.9170383647709939,101.0,5398.4,9.2,60.6
|
||||
lightgbm,standard_scaling,KMeansSMOTE,gbdt,0.1,100,0.1,0.1,1.0,1.0,10,5,0.9879694887026897,0.8749776173022346,0.840353596310616,0.8209121572972682,0.9537927663883565,0.9938325369626163,0.9964852212462812,0.9982617043652595,0.9894432107974284,0.7561226976418527,0.6842219713749508,0.6435626102292769,0.9181423219792844,104.0,5398.2,9.4,57.6
|
||||
lightgbm,standard_scaling,KMeansSMOTE,dart,0.03,100,0.1,0.1,0.8,0.8,10,5,0.9864612162803,0.8517213882755159,0.8087404085309796,0.785885510418824,0.9614784852134713,0.9930685455041811,0.9965093140147973,0.9988164928106563,0.9873866482719492,0.7103742310468509,0.620971503047162,0.5729545280269918,0.9355703221549934,92.6,5401.2,6.4,69.0
|
||||
lightgbm,standard_scaling,KMeansSMOTE,dart,0.03,100,0.1,0.1,0.8,1.0,10,5,0.9862816572762855,0.8494531720877854,0.8062811698729515,0.7834055481958557,0.9607205770272069,0.9929769287184236,0.9964502905368763,0.9987795037224373,0.9872419067787573,0.7059294154571474,0.6161120492090266,0.5680315926692738,0.9341992472756562,91.8,5401.0,6.6,69.8
|
||||
lightgbm,standard_scaling,KMeansSMOTE,dart,0.03,100,0.1,0.1,1.0,0.8,10,5,0.9868203342883293,0.8567123113396862,0.81462313212734,0.7920698521104123,0.9624609919498163,0.993251161582376,0.9965828464697711,0.9988164928106563,0.9877478834902378,0.7201734610969963,0.632663417784909,0.585323211410168,0.9371741004093945,94.6,5401.2,6.4,67.0
|
||||
lightgbm,standard_scaling,KMeansSMOTE,dart,0.03,100,0.1,0.1,1.0,1.0,10,5,0.9863893900996572,0.8516614690849792,0.8095557057072785,0.7870576057488851,0.9579981706050438,0.9930309459196085,0.9964058116257544,0.9986685432974787,0.9874568744274971,0.7102919922503499,0.6227055997888027,0.5754466682002913,0.9285394667825905,93.0,5400.4,7.2,68.6
|
||||
lightgbm,standard_scaling,KMeansSMOTE,dart,0.05,100,0.1,0.1,0.8,0.8,10,5,0.9872871464341749,0.8647825564498515,0.8265211036628628,0.8055143377206931,0.9560208920519685,0.9934866215661462,0.9964787449584944,0.998483625215177,0.9885398629294059,0.7360784913335567,0.6565634623672312,0.6125450502262096,0.9235019211745309,99.0,5399.4,8.2,62.6
|
||||
lightgbm,standard_scaling,KMeansSMOTE,dart,0.05,100,0.1,0.1,0.8,1.0,10,5,0.9872512526866313,0.864242117798965,0.8255296821802522,0.8043135971909393,0.9568082528265623,0.9934684617996755,0.9964935591422892,0.9985206074636975,0.9884674795460324,0.7350157737982544,0.6545658052182155,0.6101065869181811,0.9251490261070924,98.6,5399.6,8.0,63.0
|
||||
lightgbm,standard_scaling,KMeansSMOTE,dart,0.05,100,0.1,0.1,1.0,0.8,10,5,0.9875385574092025,0.867739957700573,0.8292362302142348,0.808058120624818,0.9590571825576781,0.9936151348160316,0.9965968036054408,0.9985945788004372,0.9886852713014047,0.7418647805851146,0.6618756568230287,0.6175216624491988,0.9294290938139514,99.8,5400.0,7.6,61.8
|
||||
lightgbm,standard_scaling,KMeansSMOTE,dart,0.05,100,0.1,0.1,1.0,1.0,10,5,0.9878617429841328,0.8718918805916948,0.8343953837040834,0.8136405111931599,0.9597257588431093,0.9937798152798208,0.9966630340635951,0.998594571960739,0.9890116522948971,0.7500039459035688,0.6721277333445717,0.6286864504255809,0.9304398653913216,101.6,5400.0,7.6,60.0
|
||||
lightgbm,standard_scaling,KMeansSMOTE,dart,0.1,100,0.1,0.1,0.8,0.8,10,5,0.9875744511567464,0.8694904253032434,0.8330898747073772,0.8128784428659526,0.9543165483350643,0.9936317630222906,0.9964486981215537,0.9983356757019992,0.9889726061606664,0.7453490875841962,0.6697310512932007,0.6274212100299057,0.9196604905094622,101.4,5398.6,9.0,60.2
|
||||
lightgbm,standard_scaling,KMeansSMOTE,dart,0.1,100,0.1,0.1,0.8,1.0,10,5,0.9877540230559461,0.8705274306318904,0.8326760658152557,0.8117771571558929,0.9596652466682235,0.993724889952756,0.9966409360538494,0.998594571960739,0.9889028548898798,0.7473299713110246,0.6687111955766621,0.6249597423510467,0.930427638446567,101.0,5400.0,7.6,60.6
|
||||
lightgbm,standard_scaling,KMeansSMOTE,dart,0.1,100,0.1,0.1,1.0,0.8,10,5,0.9878976496268617,0.8740424916234224,0.8391944377539111,0.819654574765656,0.9536373604366759,0.9937959382660164,0.9964704965030846,0.9982616838461646,0.9893706349659366,0.7542890449808285,0.681918379004738,0.6410474656851469,0.9179040859074152,103.6,5398.2,9.4,58.0
|
||||
lightgbm,standard_scaling,KMeansSMOTE,dart,0.1,100,0.1,0.1,1.0,1.0,10,5,0.98804128264537,0.8754763636546178,0.8405284491350876,0.8209184704711975,0.9551236805467838,0.9938696715557122,0.9965444000780066,0.9983356757019992,0.9894439864987652,0.7570830557535235,0.6845124981921686,0.6435012652403957,0.9208033745948025,104.0,5398.6,9.0,57.6
|
||||
lightgbm,standard_scaling,class_weight,gbdt,0.03,100,0.1,0.1,0.8,0.8,10,5,0.9872871528817676,0.8635827226233982,0.82363889290808,0.8019139194786398,0.9607516165514827,0.9934880771322151,0.9966119285054977,0.9987055323856977,0.9883253364382266,0.7336773681145814,0.6506658573106621,0.605122306571582,0.9331778966647388,97.8,5400.6,7.0,63.8
|
||||
lightgbm,standard_scaling,class_weight,gbdt,0.03,100,0.1,0.1,0.8,1.0,10,5,0.9873948857051393,0.8660654376430875,0.8278053873421346,0.8067827329934085,0.9571174874451384,0.9935416656406844,0.9965229981920896,0.9985206074636975,0.9886125885446072,0.7385892096454906,0.6590877764921795,0.6150448585231194,0.9256223863456696,99.4,5399.6,8.0,62.2
|
||||
lightgbm,standard_scaling,class_weight,gbdt,0.03,100,0.1,0.1,1.0,0.8,10,5,0.9872871270913975,0.8636064344844797,0.8240482741313839,0.8025088748233425,0.9596889613355953,0.9934880088638021,0.9965897765183312,0.9986685432974788,0.9883616207181698,0.7337248601051574,0.6515067717444367,0.6063492063492064,0.9310163019530208,98.0,5400.4,7.2,63.6
|
||||
lightgbm,standard_scaling,class_weight,gbdt,0.03,100,0.1,0.1,1.0,1.0,10,5,0.9871434811777045,0.863449771888091,0.8256341947711338,0.8048454076194018,0.9533828520533423,0.9934127773860718,0.9963827135574705,0.9983726647902182,0.9885024551041862,0.7334867663901103,0.6548856759847967,0.6113181504485852,0.9182632490024984,98.8,5398.8,8.8,62.8
|
||||
lightgbm,standard_scaling,class_weight,gbdt,0.05,100,0.1,0.1,0.8,0.8,10,5,0.987358998405188,0.8658212328853709,0.8277045950376559,0.8067604078073429,0.9566247977036533,0.9935230811207543,0.9964934015324072,0.998483625215177,0.9886121814446716,0.7381193846499876,0.6589157885429044,0.6150371903995093,0.9246374139626351,99.4,5399.4,8.2,62.2
|
||||
lightgbm,standard_scaling,class_weight,gbdt,0.05,100,0.1,0.1,0.8,1.0,10,5,0.9876462902325743,0.8702280820945317,0.8337605692544805,0.8135218826445911,0.9553624954113376,0.9936685848798849,0.9964855981899191,0.9983726511108216,0.9890093876458101,0.7467875793091783,0.6710355403190421,0.6286711141783605,0.9217156031768651,101.6,5398.8,8.8,60.0
|
||||
lightgbm,standard_scaling,class_weight,gbdt,0.05,100,0.1,0.1,1.0,0.8,10,5,0.9876103706946605,0.8685306532899453,0.8303217288431941,0.8092965157481593,0.9592309417836985,0.9936518407305781,0.9966115244112512,0.9985945651210407,0.9887583083957047,0.7434094658493124,0.6640319332751371,0.619998466375278,0.9297035751716924,100.2,5400.0,7.6,61.4
|
||||
lightgbm,standard_scaling,class_weight,gbdt,0.05,100,0.1,0.1,1.0,1.0,10,5,0.9875744640519315,0.8697383859570031,0.8335824387321773,0.8134887344578754,0.9538702717550708,0.993631447606049,0.9964264483135749,0.9982986866137802,0.9890083881850659,0.7458453243079577,0.6707384291507799,0.6286787823019708,0.9187321553250758,101.6,5398.4,9.2,60.0
|
||||
lightgbm,standard_scaling,class_weight,gbdt,0.1,100,0.1,0.1,0.8,0.8,10,5,0.9876463031277595,0.8696452935291772,0.832345622530247,0.8117216735235644,0.9573224840422384,0.9936693371232203,0.99655223796351,0.9984836046960821,0.988901862104868,0.7456212499351342,0.6681390070969839,0.6249597423510467,0.9257431059796088,101.0,5399.4,8.2,60.6
|
||||
lightgbm,standard_scaling,class_weight,gbdt,0.1,100,0.1,0.1,0.8,1.0,10,5,0.9879335756123682,0.8735142470990855,0.8373885067575266,0.81727407420208,0.9572776440521376,0.9938154842661611,0.9965889028545231,0.9984466224475614,0.9892278794141068,0.7532130099320097,0.6781881106605302,0.6361015259565985,0.9253274086901682,102.8,5399.2,8.4,58.8
|
||||
lightgbm,standard_scaling,class_weight,gbdt,0.1,100,0.1,0.1,1.0,0.8,10,5,0.9874667118857822,0.8680481539924493,0.8317553825774301,0.8116330485442184,0.9529694195282257,0.993576898041232,0.9964044843956639,0.9982986866137802,0.9889004742854578,0.7425194099436665,0.6671062807591965,0.6249674104746569,0.9170383647709939,101.0,5398.4,9.2,60.6
|
||||
lightgbm,standard_scaling,class_weight,gbdt,0.1,100,0.1,0.1,1.0,1.0,10,5,0.9879694887026897,0.8749776173022346,0.840353596310616,0.8209121572972682,0.9537927663883565,0.9938325369626163,0.9964852212462812,0.9982617043652595,0.9894432107974284,0.7561226976418527,0.6842219713749508,0.6435626102292769,0.9181423219792844,104.0,5398.2,9.4,57.6
|
||||
lightgbm,standard_scaling,class_weight,dart,0.03,100,0.1,0.1,0.8,0.8,10,5,0.9864612162803,0.8517213882755159,0.8087404085309796,0.785885510418824,0.9614784852134713,0.9930685455041811,0.9965093140147973,0.9988164928106563,0.9873866482719492,0.7103742310468509,0.620971503047162,0.5729545280269918,0.9355703221549934,92.6,5401.2,6.4,69.0
|
||||
lightgbm,standard_scaling,class_weight,dart,0.03,100,0.1,0.1,0.8,1.0,10,5,0.9862816572762855,0.8494531720877854,0.8062811698729515,0.7834055481958557,0.9607205770272069,0.9929769287184236,0.9964502905368763,0.9987795037224373,0.9872419067787573,0.7059294154571474,0.6161120492090266,0.5680315926692738,0.9341992472756562,91.8,5401.0,6.6,69.8
|
||||
lightgbm,standard_scaling,class_weight,dart,0.03,100,0.1,0.1,1.0,0.8,10,5,0.9868203342883293,0.8567123113396862,0.81462313212734,0.7920698521104123,0.9624609919498163,0.993251161582376,0.9965828464697711,0.9988164928106563,0.9877478834902378,0.7201734610969963,0.632663417784909,0.585323211410168,0.9371741004093945,94.6,5401.2,6.4,67.0
|
||||
lightgbm,standard_scaling,class_weight,dart,0.03,100,0.1,0.1,1.0,1.0,10,5,0.9863893900996572,0.8516614690849792,0.8095557057072785,0.7870576057488851,0.9579981706050438,0.9930309459196085,0.9964058116257544,0.9986685432974787,0.9874568744274971,0.7102919922503499,0.6227055997888027,0.5754466682002913,0.9285394667825905,93.0,5400.4,7.2,68.6
|
||||
lightgbm,standard_scaling,class_weight,dart,0.05,100,0.1,0.1,0.8,0.8,10,5,0.9872871464341749,0.8647825564498515,0.8265211036628628,0.8055143377206931,0.9560208920519685,0.9934866215661462,0.9964787449584944,0.998483625215177,0.9885398629294059,0.7360784913335567,0.6565634623672312,0.6125450502262096,0.9235019211745309,99.0,5399.4,8.2,62.6
|
||||
lightgbm,standard_scaling,class_weight,dart,0.05,100,0.1,0.1,0.8,1.0,10,5,0.9872512526866313,0.864242117798965,0.8255296821802522,0.8043135971909393,0.9568082528265623,0.9934684617996755,0.9964935591422892,0.9985206074636975,0.9884674795460324,0.7350157737982544,0.6545658052182155,0.6101065869181811,0.9251490261070924,98.6,5399.6,8.0,63.0
|
||||
lightgbm,standard_scaling,class_weight,dart,0.05,100,0.1,0.1,1.0,0.8,10,5,0.9875385574092025,0.867739957700573,0.8292362302142348,0.808058120624818,0.9590571825576781,0.9936151348160316,0.9965968036054408,0.9985945788004372,0.9886852713014047,0.7418647805851146,0.6618756568230287,0.6175216624491988,0.9294290938139514,99.8,5400.0,7.6,61.8
|
||||
lightgbm,standard_scaling,class_weight,dart,0.05,100,0.1,0.1,1.0,1.0,10,5,0.9878617429841328,0.8718918805916948,0.8343953837040834,0.8136405111931599,0.9597257588431093,0.9937798152798208,0.9966630340635951,0.998594571960739,0.9890116522948971,0.7500039459035688,0.6721277333445717,0.6286864504255809,0.9304398653913216,101.6,5400.0,7.6,60.0
|
||||
lightgbm,standard_scaling,class_weight,dart,0.1,100,0.1,0.1,0.8,0.8,10,5,0.9875744511567464,0.8694904253032434,0.8330898747073772,0.8128784428659526,0.9543165483350643,0.9936317630222906,0.9964486981215537,0.9983356757019992,0.9889726061606664,0.7453490875841962,0.6697310512932007,0.6274212100299057,0.9196604905094622,101.4,5398.6,9.0,60.2
|
||||
lightgbm,standard_scaling,class_weight,dart,0.1,100,0.1,0.1,0.8,1.0,10,5,0.9877540230559461,0.8705274306318904,0.8326760658152557,0.8117771571558929,0.9596652466682235,0.993724889952756,0.9966409360538494,0.998594571960739,0.9889028548898798,0.7473299713110246,0.6687111955766621,0.6249597423510467,0.930427638446567,101.0,5400.0,7.6,60.6
|
||||
lightgbm,standard_scaling,class_weight,dart,0.1,100,0.1,0.1,1.0,0.8,10,5,0.9878976496268617,0.8740424916234224,0.8391944377539111,0.819654574765656,0.9536373604366759,0.9937959382660164,0.9964704965030846,0.9982616838461646,0.9893706349659366,0.7542890449808285,0.681918379004738,0.6410474656851469,0.9179040859074152,103.6,5398.2,9.4,58.0
|
||||
lightgbm,standard_scaling,class_weight,dart,0.1,100,0.1,0.1,1.0,1.0,10,5,0.98804128264537,0.8754763636546178,0.8405284491350876,0.8209184704711975,0.9551236805467838,0.9938696715557122,0.9965444000780066,0.9983356757019992,0.9894439864987652,0.7570830557535235,0.6845124981921686,0.6435012652403957,0.9208033745948025,104.0,5398.6,9.0,57.6
|
||||
lightgbm,robust_scaling,KMeansSMOTE,gbdt,0.03,100,0.1,0.1,0.8,0.8,10,5,0.9872871528817676,0.8635827226233982,0.82363889290808,0.8019139194786398,0.9607516165514827,0.9934880771322151,0.9966119285054977,0.9987055323856977,0.9883253364382266,0.7336773681145814,0.6506658573106621,0.605122306571582,0.9331778966647388,97.8,5400.6,7.0,63.8
|
||||
lightgbm,robust_scaling,KMeansSMOTE,gbdt,0.03,100,0.1,0.1,0.8,1.0,10,5,0.9873948857051393,0.8660654376430875,0.8278053873421346,0.8067827329934085,0.9571174874451384,0.9935416656406844,0.9965229981920896,0.9985206074636975,0.9886125885446072,0.7385892096454906,0.6590877764921795,0.6150448585231194,0.9256223863456696,99.4,5399.6,8.0,62.2
|
||||
lightgbm,robust_scaling,KMeansSMOTE,gbdt,0.03,100,0.1,0.1,1.0,0.8,10,5,0.9872871270913975,0.8636064344844797,0.8240482741313839,0.8025088748233425,0.9596889613355953,0.9934880088638021,0.9965897765183312,0.9986685432974788,0.9883616207181698,0.7337248601051574,0.6515067717444367,0.6063492063492064,0.9310163019530208,98.0,5400.4,7.2,63.6
|
||||
lightgbm,robust_scaling,KMeansSMOTE,gbdt,0.03,100,0.1,0.1,1.0,1.0,10,5,0.9871434811777045,0.863449771888091,0.8256341947711338,0.8048454076194018,0.9533828520533423,0.9934127773860718,0.9963827135574705,0.9983726647902182,0.9885024551041862,0.7334867663901103,0.6548856759847967,0.6113181504485852,0.9182632490024984,98.8,5398.8,8.8,62.8
|
||||
lightgbm,robust_scaling,KMeansSMOTE,gbdt,0.05,100,0.1,0.1,0.8,0.8,10,5,0.987358998405188,0.8658212328853709,0.8277045950376559,0.8067604078073429,0.9566247977036533,0.9935230811207543,0.9964934015324072,0.998483625215177,0.9886121814446716,0.7381193846499876,0.6589157885429044,0.6150371903995093,0.9246374139626351,99.4,5399.4,8.2,62.2
|
||||
lightgbm,robust_scaling,KMeansSMOTE,gbdt,0.05,100,0.1,0.1,0.8,1.0,10,5,0.9876462902325743,0.8702280820945317,0.8337605692544805,0.8135218826445911,0.9553624954113376,0.9936685848798849,0.9964855981899191,0.9983726511108216,0.9890093876458101,0.7467875793091783,0.6710355403190421,0.6286711141783605,0.9217156031768651,101.6,5398.8,8.8,60.0
|
||||
lightgbm,robust_scaling,KMeansSMOTE,gbdt,0.05,100,0.1,0.1,1.0,0.8,10,5,0.9876103706946605,0.8685306532899453,0.8303217288431941,0.8092965157481593,0.9592309417836985,0.9936518407305781,0.9966115244112512,0.9985945651210407,0.9887583083957047,0.7434094658493124,0.6640319332751371,0.619998466375278,0.9297035751716924,100.2,5400.0,7.6,61.4
|
||||
lightgbm,robust_scaling,KMeansSMOTE,gbdt,0.05,100,0.1,0.1,1.0,1.0,10,5,0.9875744640519315,0.8697383859570031,0.8335824387321773,0.8134887344578754,0.9538702717550708,0.993631447606049,0.9964264483135749,0.9982986866137802,0.9890083881850659,0.7458453243079577,0.6707384291507799,0.6286787823019708,0.9187321553250758,101.6,5398.4,9.2,60.0
|
||||
lightgbm,robust_scaling,KMeansSMOTE,gbdt,0.1,100,0.1,0.1,0.8,0.8,10,5,0.9876463031277595,0.8696452935291772,0.832345622530247,0.8117216735235644,0.9573224840422384,0.9936693371232203,0.99655223796351,0.9984836046960821,0.988901862104868,0.7456212499351342,0.6681390070969839,0.6249597423510467,0.9257431059796088,101.0,5399.4,8.2,60.6
|
||||
lightgbm,robust_scaling,KMeansSMOTE,gbdt,0.1,100,0.1,0.1,0.8,1.0,10,5,0.9879335756123682,0.8735142470990855,0.8373885067575266,0.81727407420208,0.9572776440521376,0.9938154842661611,0.9965889028545231,0.9984466224475614,0.9892278794141068,0.7532130099320097,0.6781881106605302,0.6361015259565985,0.9253274086901682,102.8,5399.2,8.4,58.8
|
||||
lightgbm,robust_scaling,KMeansSMOTE,gbdt,0.1,100,0.1,0.1,1.0,0.8,10,5,0.9874667118857822,0.8680481539924493,0.8317553825774301,0.8116330485442184,0.9529694195282257,0.993576898041232,0.9964044843956639,0.9982986866137802,0.9889004742854578,0.7425194099436665,0.6671062807591965,0.6249674104746569,0.9170383647709939,101.0,5398.4,9.2,60.6
|
||||
lightgbm,robust_scaling,KMeansSMOTE,gbdt,0.1,100,0.1,0.1,1.0,1.0,10,5,0.9879694887026897,0.8749776173022346,0.840353596310616,0.8209121572972682,0.9537927663883565,0.9938325369626163,0.9964852212462812,0.9982617043652595,0.9894432107974284,0.7561226976418527,0.6842219713749508,0.6435626102292769,0.9181423219792844,104.0,5398.2,9.4,57.6
|
||||
lightgbm,robust_scaling,KMeansSMOTE,dart,0.03,100,0.1,0.1,0.8,0.8,10,5,0.9864612162803,0.8517213882755159,0.8087404085309796,0.785885510418824,0.9614784852134713,0.9930685455041811,0.9965093140147973,0.9988164928106563,0.9873866482719492,0.7103742310468509,0.620971503047162,0.5729545280269918,0.9355703221549934,92.6,5401.2,6.4,69.0
|
||||
lightgbm,robust_scaling,KMeansSMOTE,dart,0.03,100,0.1,0.1,0.8,1.0,10,5,0.9862816572762855,0.8494531720877854,0.8062811698729515,0.7834055481958557,0.9607205770272069,0.9929769287184236,0.9964502905368763,0.9987795037224373,0.9872419067787573,0.7059294154571474,0.6161120492090266,0.5680315926692738,0.9341992472756562,91.8,5401.0,6.6,69.8
|
||||
lightgbm,robust_scaling,KMeansSMOTE,dart,0.03,100,0.1,0.1,1.0,0.8,10,5,0.9868203342883293,0.8567123113396862,0.81462313212734,0.7920698521104123,0.9624609919498163,0.993251161582376,0.9965828464697711,0.9988164928106563,0.9877478834902378,0.7201734610969963,0.632663417784909,0.585323211410168,0.9371741004093945,94.6,5401.2,6.4,67.0
|
||||
lightgbm,robust_scaling,KMeansSMOTE,dart,0.03,100,0.1,0.1,1.0,1.0,10,5,0.9863893900996572,0.8516614690849792,0.8095557057072785,0.7870576057488851,0.9579981706050438,0.9930309459196085,0.9964058116257544,0.9986685432974787,0.9874568744274971,0.7102919922503499,0.6227055997888027,0.5754466682002913,0.9285394667825905,93.0,5400.4,7.2,68.6
|
||||
lightgbm,robust_scaling,KMeansSMOTE,dart,0.05,100,0.1,0.1,0.8,0.8,10,5,0.9872871464341749,0.8647825564498515,0.8265211036628628,0.8055143377206931,0.9560208920519685,0.9934866215661462,0.9964787449584944,0.998483625215177,0.9885398629294059,0.7360784913335567,0.6565634623672312,0.6125450502262096,0.9235019211745309,99.0,5399.4,8.2,62.6
|
||||
lightgbm,robust_scaling,KMeansSMOTE,dart,0.05,100,0.1,0.1,0.8,1.0,10,5,0.9872512526866313,0.864242117798965,0.8255296821802522,0.8043135971909393,0.9568082528265623,0.9934684617996755,0.9964935591422892,0.9985206074636975,0.9884674795460324,0.7350157737982544,0.6545658052182155,0.6101065869181811,0.9251490261070924,98.6,5399.6,8.0,63.0
|
||||
lightgbm,robust_scaling,KMeansSMOTE,dart,0.05,100,0.1,0.1,1.0,0.8,10,5,0.9875385574092025,0.867739957700573,0.8292362302142348,0.808058120624818,0.9590571825576781,0.9936151348160316,0.9965968036054408,0.9985945788004372,0.9886852713014047,0.7418647805851146,0.6618756568230287,0.6175216624491988,0.9294290938139514,99.8,5400.0,7.6,61.8
|
||||
lightgbm,robust_scaling,KMeansSMOTE,dart,0.05,100,0.1,0.1,1.0,1.0,10,5,0.9878617429841328,0.8718918805916948,0.8343953837040834,0.8136405111931599,0.9597257588431093,0.9937798152798208,0.9966630340635951,0.998594571960739,0.9890116522948971,0.7500039459035688,0.6721277333445717,0.6286864504255809,0.9304398653913216,101.6,5400.0,7.6,60.0
|
||||
lightgbm,robust_scaling,KMeansSMOTE,dart,0.1,100,0.1,0.1,0.8,0.8,10,5,0.9875744511567464,0.8694904253032434,0.8330898747073772,0.8128784428659526,0.9543165483350643,0.9936317630222906,0.9964486981215537,0.9983356757019992,0.9889726061606664,0.7453490875841962,0.6697310512932007,0.6274212100299057,0.9196604905094622,101.4,5398.6,9.0,60.2
|
||||
lightgbm,robust_scaling,KMeansSMOTE,dart,0.1,100,0.1,0.1,0.8,1.0,10,5,0.9877540230559461,0.8705274306318904,0.8326760658152557,0.8117771571558929,0.9596652466682235,0.993724889952756,0.9966409360538494,0.998594571960739,0.9889028548898798,0.7473299713110246,0.6687111955766621,0.6249597423510467,0.930427638446567,101.0,5400.0,7.6,60.6
|
||||
lightgbm,robust_scaling,KMeansSMOTE,dart,0.1,100,0.1,0.1,1.0,0.8,10,5,0.9878976496268617,0.8740424916234224,0.8391944377539111,0.819654574765656,0.9536373604366759,0.9937959382660164,0.9964704965030846,0.9982616838461646,0.9893706349659366,0.7542890449808285,0.681918379004738,0.6410474656851469,0.9179040859074152,103.6,5398.2,9.4,58.0
|
||||
lightgbm,robust_scaling,KMeansSMOTE,dart,0.1,100,0.1,0.1,1.0,1.0,10,5,0.98804128264537,0.8754763636546178,0.8405284491350876,0.8209184704711975,0.9551236805467838,0.9938696715557122,0.9965444000780066,0.9983356757019992,0.9894439864987652,0.7570830557535235,0.6845124981921686,0.6435012652403957,0.9208033745948025,104.0,5398.6,9.0,57.6
|
||||
lightgbm,robust_scaling,class_weight,gbdt,0.03,100,0.1,0.1,0.8,0.8,10,5,0.9872871528817676,0.8635827226233982,0.82363889290808,0.8019139194786398,0.9607516165514827,0.9934880771322151,0.9966119285054977,0.9987055323856977,0.9883253364382266,0.7336773681145814,0.6506658573106621,0.605122306571582,0.9331778966647388,97.8,5400.6,7.0,63.8
|
||||
lightgbm,robust_scaling,class_weight,gbdt,0.03,100,0.1,0.1,0.8,1.0,10,5,0.9873948857051393,0.8660654376430875,0.8278053873421346,0.8067827329934085,0.9571174874451384,0.9935416656406844,0.9965229981920896,0.9985206074636975,0.9886125885446072,0.7385892096454906,0.6590877764921795,0.6150448585231194,0.9256223863456696,99.4,5399.6,8.0,62.2
|
||||
lightgbm,robust_scaling,class_weight,gbdt,0.03,100,0.1,0.1,1.0,0.8,10,5,0.9872871270913975,0.8636064344844797,0.8240482741313839,0.8025088748233425,0.9596889613355953,0.9934880088638021,0.9965897765183312,0.9986685432974788,0.9883616207181698,0.7337248601051574,0.6515067717444367,0.6063492063492064,0.9310163019530208,98.0,5400.4,7.2,63.6
|
||||
lightgbm,robust_scaling,class_weight,gbdt,0.03,100,0.1,0.1,1.0,1.0,10,5,0.9871434811777045,0.863449771888091,0.8256341947711338,0.8048454076194018,0.9533828520533423,0.9934127773860718,0.9963827135574705,0.9983726647902182,0.9885024551041862,0.7334867663901103,0.6548856759847967,0.6113181504485852,0.9182632490024984,98.8,5398.8,8.8,62.8
|
||||
lightgbm,robust_scaling,class_weight,gbdt,0.05,100,0.1,0.1,0.8,0.8,10,5,0.987358998405188,0.8658212328853709,0.8277045950376559,0.8067604078073429,0.9566247977036533,0.9935230811207543,0.9964934015324072,0.998483625215177,0.9886121814446716,0.7381193846499876,0.6589157885429044,0.6150371903995093,0.9246374139626351,99.4,5399.4,8.2,62.2
|
||||
lightgbm,robust_scaling,class_weight,gbdt,0.05,100,0.1,0.1,0.8,1.0,10,5,0.9876462902325743,0.8702280820945317,0.8337605692544805,0.8135218826445911,0.9553624954113376,0.9936685848798849,0.9964855981899191,0.9983726511108216,0.9890093876458101,0.7467875793091783,0.6710355403190421,0.6286711141783605,0.9217156031768651,101.6,5398.8,8.8,60.0
|
||||
lightgbm,robust_scaling,class_weight,gbdt,0.05,100,0.1,0.1,1.0,0.8,10,5,0.9876103706946605,0.8685306532899453,0.8303217288431941,0.8092965157481593,0.9592309417836985,0.9936518407305781,0.9966115244112512,0.9985945651210407,0.9887583083957047,0.7434094658493124,0.6640319332751371,0.619998466375278,0.9297035751716924,100.2,5400.0,7.6,61.4
|
||||
lightgbm,robust_scaling,class_weight,gbdt,0.05,100,0.1,0.1,1.0,1.0,10,5,0.9875744640519315,0.8697383859570031,0.8335824387321773,0.8134887344578754,0.9538702717550708,0.993631447606049,0.9964264483135749,0.9982986866137802,0.9890083881850659,0.7458453243079577,0.6707384291507799,0.6286787823019708,0.9187321553250758,101.6,5398.4,9.2,60.0
|
||||
lightgbm,robust_scaling,class_weight,gbdt,0.1,100,0.1,0.1,0.8,0.8,10,5,0.9876463031277595,0.8696452935291772,0.832345622530247,0.8117216735235644,0.9573224840422384,0.9936693371232203,0.99655223796351,0.9984836046960821,0.988901862104868,0.7456212499351342,0.6681390070969839,0.6249597423510467,0.9257431059796088,101.0,5399.4,8.2,60.6
|
||||
lightgbm,robust_scaling,class_weight,gbdt,0.1,100,0.1,0.1,0.8,1.0,10,5,0.9879335756123682,0.8735142470990855,0.8373885067575266,0.81727407420208,0.9572776440521376,0.9938154842661611,0.9965889028545231,0.9984466224475614,0.9892278794141068,0.7532130099320097,0.6781881106605302,0.6361015259565985,0.9253274086901682,102.8,5399.2,8.4,58.8
|
||||
lightgbm,robust_scaling,class_weight,gbdt,0.1,100,0.1,0.1,1.0,0.8,10,5,0.9874667118857822,0.8680481539924493,0.8317553825774301,0.8116330485442184,0.9529694195282257,0.993576898041232,0.9964044843956639,0.9982986866137802,0.9889004742854578,0.7425194099436665,0.6671062807591965,0.6249674104746569,0.9170383647709939,101.0,5398.4,9.2,60.6
|
||||
lightgbm,robust_scaling,class_weight,gbdt,0.1,100,0.1,0.1,1.0,1.0,10,5,0.9879694887026897,0.8749776173022346,0.840353596310616,0.8209121572972682,0.9537927663883565,0.9938325369626163,0.9964852212462812,0.9982617043652595,0.9894432107974284,0.7561226976418527,0.6842219713749508,0.6435626102292769,0.9181423219792844,104.0,5398.2,9.4,57.6
|
||||
lightgbm,robust_scaling,class_weight,dart,0.03,100,0.1,0.1,0.8,0.8,10,5,0.9864612162803,0.8517213882755159,0.8087404085309796,0.785885510418824,0.9614784852134713,0.9930685455041811,0.9965093140147973,0.9988164928106563,0.9873866482719492,0.7103742310468509,0.620971503047162,0.5729545280269918,0.9355703221549934,92.6,5401.2,6.4,69.0
|
||||
lightgbm,robust_scaling,class_weight,dart,0.03,100,0.1,0.1,0.8,1.0,10,5,0.9862816572762855,0.8494531720877854,0.8062811698729515,0.7834055481958557,0.9607205770272069,0.9929769287184236,0.9964502905368763,0.9987795037224373,0.9872419067787573,0.7059294154571474,0.6161120492090266,0.5680315926692738,0.9341992472756562,91.8,5401.0,6.6,69.8
|
||||
lightgbm,robust_scaling,class_weight,dart,0.03,100,0.1,0.1,1.0,0.8,10,5,0.9868203342883293,0.8567123113396862,0.81462313212734,0.7920698521104123,0.9624609919498163,0.993251161582376,0.9965828464697711,0.9988164928106563,0.9877478834902378,0.7201734610969963,0.632663417784909,0.585323211410168,0.9371741004093945,94.6,5401.2,6.4,67.0
|
||||
lightgbm,robust_scaling,class_weight,dart,0.03,100,0.1,0.1,1.0,1.0,10,5,0.9863893900996572,0.8516614690849792,0.8095557057072785,0.7870576057488851,0.9579981706050438,0.9930309459196085,0.9964058116257544,0.9986685432974787,0.9874568744274971,0.7102919922503499,0.6227055997888027,0.5754466682002913,0.9285394667825905,93.0,5400.4,7.2,68.6
|
||||
lightgbm,robust_scaling,class_weight,dart,0.05,100,0.1,0.1,0.8,0.8,10,5,0.9872871464341749,0.8647825564498515,0.8265211036628628,0.8055143377206931,0.9560208920519685,0.9934866215661462,0.9964787449584944,0.998483625215177,0.9885398629294059,0.7360784913335567,0.6565634623672312,0.6125450502262096,0.9235019211745309,99.0,5399.4,8.2,62.6
|
||||
lightgbm,robust_scaling,class_weight,dart,0.05,100,0.1,0.1,0.8,1.0,10,5,0.9872512526866313,0.864242117798965,0.8255296821802522,0.8043135971909393,0.9568082528265623,0.9934684617996755,0.9964935591422892,0.9985206074636975,0.9884674795460324,0.7350157737982544,0.6545658052182155,0.6101065869181811,0.9251490261070924,98.6,5399.6,8.0,63.0
|
||||
lightgbm,robust_scaling,class_weight,dart,0.05,100,0.1,0.1,1.0,0.8,10,5,0.9875385574092025,0.867739957700573,0.8292362302142348,0.808058120624818,0.9590571825576781,0.9936151348160316,0.9965968036054408,0.9985945788004372,0.9886852713014047,0.7418647805851146,0.6618756568230287,0.6175216624491988,0.9294290938139514,99.8,5400.0,7.6,61.8
|
||||
lightgbm,robust_scaling,class_weight,dart,0.05,100,0.1,0.1,1.0,1.0,10,5,0.9878617429841328,0.8718918805916948,0.8343953837040834,0.8136405111931599,0.9597257588431093,0.9937798152798208,0.9966630340635951,0.998594571960739,0.9890116522948971,0.7500039459035688,0.6721277333445717,0.6286864504255809,0.9304398653913216,101.6,5400.0,7.6,60.0
|
||||
lightgbm,robust_scaling,class_weight,dart,0.1,100,0.1,0.1,0.8,0.8,10,5,0.9875744511567464,0.8694904253032434,0.8330898747073772,0.8128784428659526,0.9543165483350643,0.9936317630222906,0.9964486981215537,0.9983356757019992,0.9889726061606664,0.7453490875841962,0.6697310512932007,0.6274212100299057,0.9196604905094622,101.4,5398.6,9.0,60.2
|
||||
lightgbm,robust_scaling,class_weight,dart,0.1,100,0.1,0.1,0.8,1.0,10,5,0.9877540230559461,0.8705274306318904,0.8326760658152557,0.8117771571558929,0.9596652466682235,0.993724889952756,0.9966409360538494,0.998594571960739,0.9889028548898798,0.7473299713110246,0.6687111955766621,0.6249597423510467,0.930427638446567,101.0,5400.0,7.6,60.6
|
||||
lightgbm,robust_scaling,class_weight,dart,0.1,100,0.1,0.1,1.0,0.8,10,5,0.9878976496268617,0.8740424916234224,0.8391944377539111,0.819654574765656,0.9536373604366759,0.9937959382660164,0.9964704965030846,0.9982616838461646,0.9893706349659366,0.7542890449808285,0.681918379004738,0.6410474656851469,0.9179040859074152,103.6,5398.2,9.4,58.0
|
||||
lightgbm,robust_scaling,class_weight,dart,0.1,100,0.1,0.1,1.0,1.0,10,5,0.98804128264537,0.8754763636546178,0.8405284491350876,0.8209184704711975,0.9551236805467838,0.9938696715557122,0.9965444000780066,0.9983356757019992,0.9894439864987652,0.7570830557535235,0.6845124981921686,0.6435012652403957,0.9208033745948025,104.0,5398.6,9.0,57.6
|
||||
lightgbm,minmax_scaling,KMeansSMOTE,gbdt,0.03,100,0.1,0.1,0.8,0.8,10,5,0.9872871528817676,0.8635827226233982,0.82363889290808,0.8019139194786398,0.9607516165514827,0.9934880771322151,0.9966119285054977,0.9987055323856977,0.9883253364382266,0.7336773681145814,0.6506658573106621,0.605122306571582,0.9331778966647388,97.8,5400.6,7.0,63.8
|
||||
lightgbm,minmax_scaling,KMeansSMOTE,gbdt,0.03,100,0.1,0.1,0.8,1.0,10,5,0.9873948857051393,0.8660654376430875,0.8278053873421346,0.8067827329934085,0.9571174874451384,0.9935416656406844,0.9965229981920896,0.9985206074636975,0.9886125885446072,0.7385892096454906,0.6590877764921795,0.6150448585231194,0.9256223863456696,99.4,5399.6,8.0,62.2
|
||||
lightgbm,minmax_scaling,KMeansSMOTE,gbdt,0.03,100,0.1,0.1,1.0,0.8,10,5,0.9872871270913975,0.8636064344844797,0.8240482741313839,0.8025088748233425,0.9596889613355953,0.9934880088638021,0.9965897765183312,0.9986685432974788,0.9883616207181698,0.7337248601051574,0.6515067717444367,0.6063492063492064,0.9310163019530208,98.0,5400.4,7.2,63.6
|
||||
lightgbm,minmax_scaling,KMeansSMOTE,gbdt,0.03,100,0.1,0.1,1.0,1.0,10,5,0.9871434811777045,0.863449771888091,0.8256341947711338,0.8048454076194018,0.9533828520533423,0.9934127773860718,0.9963827135574705,0.9983726647902182,0.9885024551041862,0.7334867663901103,0.6548856759847967,0.6113181504485852,0.9182632490024984,98.8,5398.8,8.8,62.8
|
||||
lightgbm,minmax_scaling,KMeansSMOTE,gbdt,0.05,100,0.1,0.1,0.8,0.8,10,5,0.987358998405188,0.8658212328853709,0.8277045950376559,0.8067604078073429,0.9566247977036533,0.9935230811207543,0.9964934015324072,0.998483625215177,0.9886121814446716,0.7381193846499876,0.6589157885429044,0.6150371903995093,0.9246374139626351,99.4,5399.4,8.2,62.2
|
||||
lightgbm,minmax_scaling,KMeansSMOTE,gbdt,0.05,100,0.1,0.1,0.8,1.0,10,5,0.9876462902325743,0.8702280820945317,0.8337605692544805,0.8135218826445911,0.9553624954113376,0.9936685848798849,0.9964855981899191,0.9983726511108216,0.9890093876458101,0.7467875793091783,0.6710355403190421,0.6286711141783605,0.9217156031768651,101.6,5398.8,8.8,60.0
|
||||
lightgbm,minmax_scaling,KMeansSMOTE,gbdt,0.05,100,0.1,0.1,1.0,0.8,10,5,0.9876103706946605,0.8685306532899453,0.8303217288431941,0.8092965157481593,0.9592309417836985,0.9936518407305781,0.9966115244112512,0.9985945651210407,0.9887583083957047,0.7434094658493124,0.6640319332751371,0.619998466375278,0.9297035751716924,100.2,5400.0,7.6,61.4
|
||||
lightgbm,minmax_scaling,KMeansSMOTE,gbdt,0.05,100,0.1,0.1,1.0,1.0,10,5,0.9875744640519315,0.8697383859570031,0.8335824387321773,0.8134887344578754,0.9538702717550708,0.993631447606049,0.9964264483135749,0.9982986866137802,0.9890083881850659,0.7458453243079577,0.6707384291507799,0.6286787823019708,0.9187321553250758,101.6,5398.4,9.2,60.0
|
||||
lightgbm,minmax_scaling,KMeansSMOTE,gbdt,0.1,100,0.1,0.1,0.8,0.8,10,5,0.9876463031277595,0.8696452935291772,0.832345622530247,0.8117216735235644,0.9573224840422384,0.9936693371232203,0.99655223796351,0.9984836046960821,0.988901862104868,0.7456212499351342,0.6681390070969839,0.6249597423510467,0.9257431059796088,101.0,5399.4,8.2,60.6
|
||||
lightgbm,minmax_scaling,KMeansSMOTE,gbdt,0.1,100,0.1,0.1,0.8,1.0,10,5,0.9879335756123682,0.8735142470990855,0.8373885067575266,0.81727407420208,0.9572776440521376,0.9938154842661611,0.9965889028545231,0.9984466224475614,0.9892278794141068,0.7532130099320097,0.6781881106605302,0.6361015259565985,0.9253274086901682,102.8,5399.2,8.4,58.8
|
||||
lightgbm,minmax_scaling,KMeansSMOTE,gbdt,0.1,100,0.1,0.1,1.0,0.8,10,5,0.9874667118857822,0.8680481539924493,0.8317553825774301,0.8116330485442184,0.9529694195282257,0.993576898041232,0.9964044843956639,0.9982986866137802,0.9889004742854578,0.7425194099436665,0.6671062807591965,0.6249674104746569,0.9170383647709939,101.0,5398.4,9.2,60.6
|
||||
lightgbm,minmax_scaling,KMeansSMOTE,gbdt,0.1,100,0.1,0.1,1.0,1.0,10,5,0.9879694887026897,0.8749776173022346,0.840353596310616,0.8209121572972682,0.9537927663883565,0.9938325369626163,0.9964852212462812,0.9982617043652595,0.9894432107974284,0.7561226976418527,0.6842219713749508,0.6435626102292769,0.9181423219792844,104.0,5398.2,9.4,57.6
|
||||
lightgbm,minmax_scaling,KMeansSMOTE,dart,0.03,100,0.1,0.1,0.8,0.8,10,5,0.9864612162803,0.8517213882755159,0.8087404085309796,0.785885510418824,0.9614784852134713,0.9930685455041811,0.9965093140147973,0.9988164928106563,0.9873866482719492,0.7103742310468509,0.620971503047162,0.5729545280269918,0.9355703221549934,92.6,5401.2,6.4,69.0
|
||||
lightgbm,minmax_scaling,KMeansSMOTE,dart,0.03,100,0.1,0.1,0.8,1.0,10,5,0.9862816572762855,0.8494531720877854,0.8062811698729515,0.7834055481958557,0.9607205770272069,0.9929769287184236,0.9964502905368763,0.9987795037224373,0.9872419067787573,0.7059294154571474,0.6161120492090266,0.5680315926692738,0.9341992472756562,91.8,5401.0,6.6,69.8
|
||||
lightgbm,minmax_scaling,KMeansSMOTE,dart,0.03,100,0.1,0.1,1.0,0.8,10,5,0.9868203342883293,0.8567123113396862,0.81462313212734,0.7920698521104123,0.9624609919498163,0.993251161582376,0.9965828464697711,0.9988164928106563,0.9877478834902378,0.7201734610969963,0.632663417784909,0.585323211410168,0.9371741004093945,94.6,5401.2,6.4,67.0
|
||||
lightgbm,minmax_scaling,KMeansSMOTE,dart,0.03,100,0.1,0.1,1.0,1.0,10,5,0.9863893900996572,0.8516614690849792,0.8095557057072785,0.7870576057488851,0.9579981706050438,0.9930309459196085,0.9964058116257544,0.9986685432974787,0.9874568744274971,0.7102919922503499,0.6227055997888027,0.5754466682002913,0.9285394667825905,93.0,5400.4,7.2,68.6
|
||||
lightgbm,minmax_scaling,KMeansSMOTE,dart,0.05,100,0.1,0.1,0.8,0.8,10,5,0.9872871464341749,0.8647825564498515,0.8265211036628628,0.8055143377206931,0.9560208920519685,0.9934866215661462,0.9964787449584944,0.998483625215177,0.9885398629294059,0.7360784913335567,0.6565634623672312,0.6125450502262096,0.9235019211745309,99.0,5399.4,8.2,62.6
|
||||
lightgbm,minmax_scaling,KMeansSMOTE,dart,0.05,100,0.1,0.1,0.8,1.0,10,5,0.9872512526866313,0.864242117798965,0.8255296821802522,0.8043135971909393,0.9568082528265623,0.9934684617996755,0.9964935591422892,0.9985206074636975,0.9884674795460324,0.7350157737982544,0.6545658052182155,0.6101065869181811,0.9251490261070924,98.6,5399.6,8.0,63.0
|
||||
lightgbm,minmax_scaling,KMeansSMOTE,dart,0.05,100,0.1,0.1,1.0,0.8,10,5,0.9875385574092025,0.867739957700573,0.8292362302142348,0.808058120624818,0.9590571825576781,0.9936151348160316,0.9965968036054408,0.9985945788004372,0.9886852713014047,0.7418647805851146,0.6618756568230287,0.6175216624491988,0.9294290938139514,99.8,5400.0,7.6,61.8
|
||||
lightgbm,minmax_scaling,KMeansSMOTE,dart,0.05,100,0.1,0.1,1.0,1.0,10,5,0.9878617429841328,0.8718918805916948,0.8343953837040834,0.8136405111931599,0.9597257588431093,0.9937798152798208,0.9966630340635951,0.998594571960739,0.9890116522948971,0.7500039459035688,0.6721277333445717,0.6286864504255809,0.9304398653913216,101.6,5400.0,7.6,60.0
|
||||
lightgbm,minmax_scaling,KMeansSMOTE,dart,0.1,100,0.1,0.1,0.8,0.8,10,5,0.9875744511567464,0.8694904253032434,0.8330898747073772,0.8128784428659526,0.9543165483350643,0.9936317630222906,0.9964486981215537,0.9983356757019992,0.9889726061606664,0.7453490875841962,0.6697310512932007,0.6274212100299057,0.9196604905094622,101.4,5398.6,9.0,60.2
|
||||
lightgbm,minmax_scaling,KMeansSMOTE,dart,0.1,100,0.1,0.1,0.8,1.0,10,5,0.9877540230559461,0.8705274306318904,0.8326760658152557,0.8117771571558929,0.9596652466682235,0.993724889952756,0.9966409360538494,0.998594571960739,0.9889028548898798,0.7473299713110246,0.6687111955766621,0.6249597423510467,0.930427638446567,101.0,5400.0,7.6,60.6
|
||||
lightgbm,minmax_scaling,KMeansSMOTE,dart,0.1,100,0.1,0.1,1.0,0.8,10,5,0.9878976496268617,0.8740424916234224,0.8391944377539111,0.819654574765656,0.9536373604366759,0.9937959382660164,0.9964704965030846,0.9982616838461646,0.9893706349659366,0.7542890449808285,0.681918379004738,0.6410474656851469,0.9179040859074152,103.6,5398.2,9.4,58.0
|
||||
lightgbm,minmax_scaling,KMeansSMOTE,dart,0.1,100,0.1,0.1,1.0,1.0,10,5,0.98804128264537,0.8754763636546178,0.8405284491350876,0.8209184704711975,0.9551236805467838,0.9938696715557122,0.9965444000780066,0.9983356757019992,0.9894439864987652,0.7570830557535235,0.6845124981921686,0.6435012652403957,0.9208033745948025,104.0,5398.6,9.0,57.6
|
||||
lightgbm,minmax_scaling,class_weight,gbdt,0.03,100,0.1,0.1,0.8,0.8,10,5,0.9872871528817676,0.8635827226233982,0.82363889290808,0.8019139194786398,0.9607516165514827,0.9934880771322151,0.9966119285054977,0.9987055323856977,0.9883253364382266,0.7336773681145814,0.6506658573106621,0.605122306571582,0.9331778966647388,97.8,5400.6,7.0,63.8
|
||||
lightgbm,minmax_scaling,class_weight,gbdt,0.03,100,0.1,0.1,0.8,1.0,10,5,0.9873948857051393,0.8660654376430875,0.8278053873421346,0.8067827329934085,0.9571174874451384,0.9935416656406844,0.9965229981920896,0.9985206074636975,0.9886125885446072,0.7385892096454906,0.6590877764921795,0.6150448585231194,0.9256223863456696,99.4,5399.6,8.0,62.2
|
||||
lightgbm,minmax_scaling,class_weight,gbdt,0.03,100,0.1,0.1,1.0,0.8,10,5,0.9872871270913975,0.8636064344844797,0.8240482741313839,0.8025088748233425,0.9596889613355953,0.9934880088638021,0.9965897765183312,0.9986685432974788,0.9883616207181698,0.7337248601051574,0.6515067717444367,0.6063492063492064,0.9310163019530208,98.0,5400.4,7.2,63.6
|
||||
lightgbm,minmax_scaling,class_weight,gbdt,0.03,100,0.1,0.1,1.0,1.0,10,5,0.9871434811777045,0.863449771888091,0.8256341947711338,0.8048454076194018,0.9533828520533423,0.9934127773860718,0.9963827135574705,0.9983726647902182,0.9885024551041862,0.7334867663901103,0.6548856759847967,0.6113181504485852,0.9182632490024984,98.8,5398.8,8.8,62.8
|
||||
lightgbm,minmax_scaling,class_weight,gbdt,0.05,100,0.1,0.1,0.8,0.8,10,5,0.987358998405188,0.8658212328853709,0.8277045950376559,0.8067604078073429,0.9566247977036533,0.9935230811207543,0.9964934015324072,0.998483625215177,0.9886121814446716,0.7381193846499876,0.6589157885429044,0.6150371903995093,0.9246374139626351,99.4,5399.4,8.2,62.2
|
||||
lightgbm,minmax_scaling,class_weight,gbdt,0.05,100,0.1,0.1,0.8,1.0,10,5,0.9876462902325743,0.8702280820945317,0.8337605692544805,0.8135218826445911,0.9553624954113376,0.9936685848798849,0.9964855981899191,0.9983726511108216,0.9890093876458101,0.7467875793091783,0.6710355403190421,0.6286711141783605,0.9217156031768651,101.6,5398.8,8.8,60.0
|
||||
lightgbm,minmax_scaling,class_weight,gbdt,0.05,100,0.1,0.1,1.0,0.8,10,5,0.9876103706946605,0.8685306532899453,0.8303217288431941,0.8092965157481593,0.9592309417836985,0.9936518407305781,0.9966115244112512,0.9985945651210407,0.9887583083957047,0.7434094658493124,0.6640319332751371,0.619998466375278,0.9297035751716924,100.2,5400.0,7.6,61.4
|
||||
lightgbm,minmax_scaling,class_weight,gbdt,0.05,100,0.1,0.1,1.0,1.0,10,5,0.9875744640519315,0.8697383859570031,0.8335824387321773,0.8134887344578754,0.9538702717550708,0.993631447606049,0.9964264483135749,0.9982986866137802,0.9890083881850659,0.7458453243079577,0.6707384291507799,0.6286787823019708,0.9187321553250758,101.6,5398.4,9.2,60.0
|
||||
lightgbm,minmax_scaling,class_weight,gbdt,0.1,100,0.1,0.1,0.8,0.8,10,5,0.9876463031277595,0.8696452935291772,0.832345622530247,0.8117216735235644,0.9573224840422384,0.9936693371232203,0.99655223796351,0.9984836046960821,0.988901862104868,0.7456212499351342,0.6681390070969839,0.6249597423510467,0.9257431059796088,101.0,5399.4,8.2,60.6
|
||||
lightgbm,minmax_scaling,class_weight,gbdt,0.1,100,0.1,0.1,0.8,1.0,10,5,0.9879335756123682,0.8735142470990855,0.8373885067575266,0.81727407420208,0.9572776440521376,0.9938154842661611,0.9965889028545231,0.9984466224475614,0.9892278794141068,0.7532130099320097,0.6781881106605302,0.6361015259565985,0.9253274086901682,102.8,5399.2,8.4,58.8
|
||||
lightgbm,minmax_scaling,class_weight,gbdt,0.1,100,0.1,0.1,1.0,0.8,10,5,0.9874667118857822,0.8680481539924493,0.8317553825774301,0.8116330485442184,0.9529694195282257,0.993576898041232,0.9964044843956639,0.9982986866137802,0.9889004742854578,0.7425194099436665,0.6671062807591965,0.6249674104746569,0.9170383647709939,101.0,5398.4,9.2,60.6
|
||||
lightgbm,minmax_scaling,class_weight,gbdt,0.1,100,0.1,0.1,1.0,1.0,10,5,0.9879694887026897,0.8749776173022346,0.840353596310616,0.8209121572972682,0.9537927663883565,0.9938325369626163,0.9964852212462812,0.9982617043652595,0.9894432107974284,0.7561226976418527,0.6842219713749508,0.6435626102292769,0.9181423219792844,104.0,5398.2,9.4,57.6
|
||||
lightgbm,minmax_scaling,class_weight,dart,0.03,100,0.1,0.1,0.8,0.8,10,5,0.9864612162803,0.8517213882755159,0.8087404085309796,0.785885510418824,0.9614784852134713,0.9930685455041811,0.9965093140147973,0.9988164928106563,0.9873866482719492,0.7103742310468509,0.620971503047162,0.5729545280269918,0.9355703221549934,92.6,5401.2,6.4,69.0
|
||||
lightgbm,minmax_scaling,class_weight,dart,0.03,100,0.1,0.1,0.8,1.0,10,5,0.9862816572762855,0.8494531720877854,0.8062811698729515,0.7834055481958557,0.9607205770272069,0.9929769287184236,0.9964502905368763,0.9987795037224373,0.9872419067787573,0.7059294154571474,0.6161120492090266,0.5680315926692738,0.9341992472756562,91.8,5401.0,6.6,69.8
|
||||
lightgbm,minmax_scaling,class_weight,dart,0.03,100,0.1,0.1,1.0,0.8,10,5,0.9868203342883293,0.8567123113396862,0.81462313212734,0.7920698521104123,0.9624609919498163,0.993251161582376,0.9965828464697711,0.9988164928106563,0.9877478834902378,0.7201734610969963,0.632663417784909,0.585323211410168,0.9371741004093945,94.6,5401.2,6.4,67.0
|
||||
lightgbm,minmax_scaling,class_weight,dart,0.03,100,0.1,0.1,1.0,1.0,10,5,0.9863893900996572,0.8516614690849792,0.8095557057072785,0.7870576057488851,0.9579981706050438,0.9930309459196085,0.9964058116257544,0.9986685432974787,0.9874568744274971,0.7102919922503499,0.6227055997888027,0.5754466682002913,0.9285394667825905,93.0,5400.4,7.2,68.6
|
||||
lightgbm,minmax_scaling,class_weight,dart,0.05,100,0.1,0.1,0.8,0.8,10,5,0.9872871464341749,0.8647825564498515,0.8265211036628628,0.8055143377206931,0.9560208920519685,0.9934866215661462,0.9964787449584944,0.998483625215177,0.9885398629294059,0.7360784913335567,0.6565634623672312,0.6125450502262096,0.9235019211745309,99.0,5399.4,8.2,62.6
|
||||
lightgbm,minmax_scaling,class_weight,dart,0.05,100,0.1,0.1,0.8,1.0,10,5,0.9872512526866313,0.864242117798965,0.8255296821802522,0.8043135971909393,0.9568082528265623,0.9934684617996755,0.9964935591422892,0.9985206074636975,0.9884674795460324,0.7350157737982544,0.6545658052182155,0.6101065869181811,0.9251490261070924,98.6,5399.6,8.0,63.0
|
||||
lightgbm,minmax_scaling,class_weight,dart,0.05,100,0.1,0.1,1.0,0.8,10,5,0.9875385574092025,0.867739957700573,0.8292362302142348,0.808058120624818,0.9590571825576781,0.9936151348160316,0.9965968036054408,0.9985945788004372,0.9886852713014047,0.7418647805851146,0.6618756568230287,0.6175216624491988,0.9294290938139514,99.8,5400.0,7.6,61.8
|
||||
lightgbm,minmax_scaling,class_weight,dart,0.05,100,0.1,0.1,1.0,1.0,10,5,0.9878617429841328,0.8718918805916948,0.8343953837040834,0.8136405111931599,0.9597257588431093,0.9937798152798208,0.9966630340635951,0.998594571960739,0.9890116522948971,0.7500039459035688,0.6721277333445717,0.6286864504255809,0.9304398653913216,101.6,5400.0,7.6,60.0
|
||||
lightgbm,minmax_scaling,class_weight,dart,0.1,100,0.1,0.1,0.8,0.8,10,5,0.9875744511567464,0.8694904253032434,0.8330898747073772,0.8128784428659526,0.9543165483350643,0.9936317630222906,0.9964486981215537,0.9983356757019992,0.9889726061606664,0.7453490875841962,0.6697310512932007,0.6274212100299057,0.9196604905094622,101.4,5398.6,9.0,60.2
|
||||
lightgbm,minmax_scaling,class_weight,dart,0.1,100,0.1,0.1,0.8,1.0,10,5,0.9877540230559461,0.8705274306318904,0.8326760658152557,0.8117771571558929,0.9596652466682235,0.993724889952756,0.9966409360538494,0.998594571960739,0.9889028548898798,0.7473299713110246,0.6687111955766621,0.6249597423510467,0.930427638446567,101.0,5400.0,7.6,60.6
|
||||
lightgbm,minmax_scaling,class_weight,dart,0.1,100,0.1,0.1,1.0,0.8,10,5,0.9878976496268617,0.8740424916234224,0.8391944377539111,0.819654574765656,0.9536373604366759,0.9937959382660164,0.9964704965030846,0.9982616838461646,0.9893706349659366,0.7542890449808285,0.681918379004738,0.6410474656851469,0.9179040859074152,103.6,5398.2,9.4,58.0
|
||||
lightgbm,minmax_scaling,class_weight,dart,0.1,100,0.1,0.1,1.0,1.0,10,5,0.98804128264537,0.8754763636546178,0.8405284491350876,0.8209184704711975,0.9551236805467838,0.9938696715557122,0.9965444000780066,0.9983356757019992,0.9894439864987652,0.7570830557535235,0.6845124981921686,0.6435012652403957,0.9208033745948025,104.0,5398.6,9.0,57.6
|
||||
lightgbm,yeo_johnson,KMeansSMOTE,gbdt,0.03,100,0.1,0.1,0.8,0.8,10,5,0.9872871528817676,0.8635827226233982,0.82363889290808,0.8019139194786398,0.9607516165514827,0.9934880771322151,0.9966119285054977,0.9987055323856977,0.9883253364382266,0.7336773681145814,0.6506658573106621,0.605122306571582,0.9331778966647388,97.8,5400.6,7.0,63.8
|
||||
lightgbm,yeo_johnson,KMeansSMOTE,gbdt,0.03,100,0.1,0.1,0.8,1.0,10,5,0.9873948857051393,0.8660654376430875,0.8278053873421346,0.8067827329934085,0.9571174874451384,0.9935416656406844,0.9965229981920896,0.9985206074636975,0.9886125885446072,0.7385892096454906,0.6590877764921795,0.6150448585231194,0.9256223863456696,99.4,5399.6,8.0,62.2
|
||||
lightgbm,yeo_johnson,KMeansSMOTE,gbdt,0.03,100,0.1,0.1,1.0,0.8,10,5,0.9872871270913975,0.8636064344844797,0.8240482741313839,0.8025088748233425,0.9596889613355953,0.9934880088638021,0.9965897765183312,0.9986685432974788,0.9883616207181698,0.7337248601051574,0.6515067717444367,0.6063492063492064,0.9310163019530208,98.0,5400.4,7.2,63.6
|
||||
lightgbm,yeo_johnson,KMeansSMOTE,gbdt,0.03,100,0.1,0.1,1.0,1.0,10,5,0.9871434811777045,0.863449771888091,0.8256341947711338,0.8048454076194018,0.9533828520533423,0.9934127773860718,0.9963827135574705,0.9983726647902182,0.9885024551041862,0.7334867663901103,0.6548856759847967,0.6113181504485852,0.9182632490024984,98.8,5398.8,8.8,62.8
|
||||
lightgbm,yeo_johnson,KMeansSMOTE,gbdt,0.05,100,0.1,0.1,0.8,0.8,10,5,0.987358998405188,0.8658212328853709,0.8277045950376559,0.8067604078073429,0.9566247977036533,0.9935230811207543,0.9964934015324072,0.998483625215177,0.9886121814446716,0.7381193846499876,0.6589157885429044,0.6150371903995093,0.9246374139626351,99.4,5399.4,8.2,62.2
|
||||
lightgbm,yeo_johnson,KMeansSMOTE,gbdt,0.05,100,0.1,0.1,0.8,1.0,10,5,0.9876462902325743,0.8702280820945317,0.8337605692544805,0.8135218826445911,0.9553624954113376,0.9936685848798849,0.9964855981899191,0.9983726511108216,0.9890093876458101,0.7467875793091783,0.6710355403190421,0.6286711141783605,0.9217156031768651,101.6,5398.8,8.8,60.0
|
||||
lightgbm,yeo_johnson,KMeansSMOTE,gbdt,0.05,100,0.1,0.1,1.0,0.8,10,5,0.9876103706946605,0.8685306532899453,0.8303217288431941,0.8092965157481593,0.9592309417836985,0.9936518407305781,0.9966115244112512,0.9985945651210407,0.9887583083957047,0.7434094658493124,0.6640319332751371,0.619998466375278,0.9297035751716924,100.2,5400.0,7.6,61.4
|
||||
lightgbm,yeo_johnson,KMeansSMOTE,gbdt,0.05,100,0.1,0.1,1.0,1.0,10,5,0.9875744640519315,0.8697383859570031,0.8335824387321773,0.8134887344578754,0.9538702717550708,0.993631447606049,0.9964264483135749,0.9982986866137802,0.9890083881850659,0.7458453243079577,0.6707384291507799,0.6286787823019708,0.9187321553250758,101.6,5398.4,9.2,60.0
|
||||
lightgbm,yeo_johnson,KMeansSMOTE,gbdt,0.1,100,0.1,0.1,0.8,0.8,10,5,0.9876463031277595,0.8696452935291772,0.832345622530247,0.8117216735235644,0.9573224840422384,0.9936693371232203,0.99655223796351,0.9984836046960821,0.988901862104868,0.7456212499351342,0.6681390070969839,0.6249597423510467,0.9257431059796088,101.0,5399.4,8.2,60.6
|
||||
lightgbm,yeo_johnson,KMeansSMOTE,gbdt,0.1,100,0.1,0.1,0.8,1.0,10,5,0.9879335756123682,0.8735142470990855,0.8373885067575266,0.81727407420208,0.9572776440521376,0.9938154842661611,0.9965889028545231,0.9984466224475614,0.9892278794141068,0.7532130099320097,0.6781881106605302,0.6361015259565985,0.9253274086901682,102.8,5399.2,8.4,58.8
|
||||
lightgbm,yeo_johnson,KMeansSMOTE,gbdt,0.1,100,0.1,0.1,1.0,0.8,10,5,0.9874667118857822,0.8680481539924493,0.8317553825774301,0.8116330485442184,0.9529694195282257,0.993576898041232,0.9964044843956639,0.9982986866137802,0.9889004742854578,0.7425194099436665,0.6671062807591965,0.6249674104746569,0.9170383647709939,101.0,5398.4,9.2,60.6
|
||||
lightgbm,yeo_johnson,KMeansSMOTE,gbdt,0.1,100,0.1,0.1,1.0,1.0,10,5,0.9879694887026897,0.8749776173022346,0.840353596310616,0.8209121572972682,0.9537927663883565,0.9938325369626163,0.9964852212462812,0.9982617043652595,0.9894432107974284,0.7561226976418527,0.6842219713749508,0.6435626102292769,0.9181423219792844,104.0,5398.2,9.4,57.6
|
||||
lightgbm,yeo_johnson,KMeansSMOTE,dart,0.03,100,0.1,0.1,0.8,0.8,10,5,0.9864612162803,0.8517213882755159,0.8087404085309796,0.785885510418824,0.9614784852134713,0.9930685455041811,0.9965093140147973,0.9988164928106563,0.9873866482719492,0.7103742310468509,0.620971503047162,0.5729545280269918,0.9355703221549934,92.6,5401.2,6.4,69.0
|
||||
lightgbm,yeo_johnson,KMeansSMOTE,dart,0.03,100,0.1,0.1,0.8,1.0,10,5,0.9862816572762855,0.8494531720877854,0.8062811698729515,0.7834055481958557,0.9607205770272069,0.9929769287184236,0.9964502905368763,0.9987795037224373,0.9872419067787573,0.7059294154571474,0.6161120492090266,0.5680315926692738,0.9341992472756562,91.8,5401.0,6.6,69.8
|
||||
lightgbm,yeo_johnson,KMeansSMOTE,dart,0.03,100,0.1,0.1,1.0,0.8,10,5,0.9868203342883293,0.8567123113396862,0.81462313212734,0.7920698521104123,0.9624609919498163,0.993251161582376,0.9965828464697711,0.9988164928106563,0.9877478834902378,0.7201734610969963,0.632663417784909,0.585323211410168,0.9371741004093945,94.6,5401.2,6.4,67.0
|
||||
lightgbm,yeo_johnson,KMeansSMOTE,dart,0.03,100,0.1,0.1,1.0,1.0,10,5,0.9863893900996572,0.8516614690849792,0.8095557057072785,0.7870576057488851,0.9579981706050438,0.9930309459196085,0.9964058116257544,0.9986685432974787,0.9874568744274971,0.7102919922503499,0.6227055997888027,0.5754466682002913,0.9285394667825905,93.0,5400.4,7.2,68.6
|
||||
lightgbm,yeo_johnson,KMeansSMOTE,dart,0.05,100,0.1,0.1,0.8,0.8,10,5,0.9872871464341749,0.8647825564498515,0.8265211036628628,0.8055143377206931,0.9560208920519685,0.9934866215661462,0.9964787449584944,0.998483625215177,0.9885398629294059,0.7360784913335567,0.6565634623672312,0.6125450502262096,0.9235019211745309,99.0,5399.4,8.2,62.6
|
||||
lightgbm,yeo_johnson,KMeansSMOTE,dart,0.05,100,0.1,0.1,0.8,1.0,10,5,0.9872512526866313,0.864242117798965,0.8255296821802522,0.8043135971909393,0.9568082528265623,0.9934684617996755,0.9964935591422892,0.9985206074636975,0.9884674795460324,0.7350157737982544,0.6545658052182155,0.6101065869181811,0.9251490261070924,98.6,5399.6,8.0,63.0
|
||||
lightgbm,yeo_johnson,KMeansSMOTE,dart,0.05,100,0.1,0.1,1.0,0.8,10,5,0.9875385574092025,0.867739957700573,0.8292362302142348,0.808058120624818,0.9590571825576781,0.9936151348160316,0.9965968036054408,0.9985945788004372,0.9886852713014047,0.7418647805851146,0.6618756568230287,0.6175216624491988,0.9294290938139514,99.8,5400.0,7.6,61.8
|
||||
lightgbm,yeo_johnson,KMeansSMOTE,dart,0.05,100,0.1,0.1,1.0,1.0,10,5,0.9878617429841328,0.8718918805916948,0.8343953837040834,0.8136405111931599,0.9597257588431093,0.9937798152798208,0.9966630340635951,0.998594571960739,0.9890116522948971,0.7500039459035688,0.6721277333445717,0.6286864504255809,0.9304398653913216,101.6,5400.0,7.6,60.0
|
||||
lightgbm,yeo_johnson,KMeansSMOTE,dart,0.1,100,0.1,0.1,0.8,0.8,10,5,0.9875744511567464,0.8694904253032434,0.8330898747073772,0.8128784428659526,0.9543165483350643,0.9936317630222906,0.9964486981215537,0.9983356757019992,0.9889726061606664,0.7453490875841962,0.6697310512932007,0.6274212100299057,0.9196604905094622,101.4,5398.6,9.0,60.2
|
||||
lightgbm,yeo_johnson,KMeansSMOTE,dart,0.1,100,0.1,0.1,0.8,1.0,10,5,0.9877540230559461,0.8705274306318904,0.8326760658152557,0.8117771571558929,0.9596652466682235,0.993724889952756,0.9966409360538494,0.998594571960739,0.9889028548898798,0.7473299713110246,0.6687111955766621,0.6249597423510467,0.930427638446567,101.0,5400.0,7.6,60.6
|
||||
lightgbm,yeo_johnson,KMeansSMOTE,dart,0.1,100,0.1,0.1,1.0,0.8,10,5,0.9878976496268617,0.8740424916234224,0.8391944377539111,0.819654574765656,0.9536373604366759,0.9937959382660164,0.9964704965030846,0.9982616838461646,0.9893706349659366,0.7542890449808285,0.681918379004738,0.6410474656851469,0.9179040859074152,103.6,5398.2,9.4,58.0
|
||||
lightgbm,yeo_johnson,KMeansSMOTE,dart,0.1,100,0.1,0.1,1.0,1.0,10,5,0.98804128264537,0.8754763636546178,0.8405284491350876,0.8209184704711975,0.9551236805467838,0.9938696715557122,0.9965444000780066,0.9983356757019992,0.9894439864987652,0.7570830557535235,0.6845124981921686,0.6435012652403957,0.9208033745948025,104.0,5398.6,9.0,57.6
|
||||
lightgbm,yeo_johnson,class_weight,gbdt,0.03,100,0.1,0.1,0.8,0.8,10,5,0.9872871528817676,0.8635827226233982,0.82363889290808,0.8019139194786398,0.9607516165514827,0.9934880771322151,0.9966119285054977,0.9987055323856977,0.9883253364382266,0.7336773681145814,0.6506658573106621,0.605122306571582,0.9331778966647388,97.8,5400.6,7.0,63.8
|
||||
lightgbm,yeo_johnson,class_weight,gbdt,0.03,100,0.1,0.1,0.8,1.0,10,5,0.9873948857051393,0.8660654376430875,0.8278053873421346,0.8067827329934085,0.9571174874451384,0.9935416656406844,0.9965229981920896,0.9985206074636975,0.9886125885446072,0.7385892096454906,0.6590877764921795,0.6150448585231194,0.9256223863456696,99.4,5399.6,8.0,62.2
|
||||
lightgbm,yeo_johnson,class_weight,gbdt,0.03,100,0.1,0.1,1.0,0.8,10,5,0.9872871270913975,0.8636064344844797,0.8240482741313839,0.8025088748233425,0.9596889613355953,0.9934880088638021,0.9965897765183312,0.9986685432974788,0.9883616207181698,0.7337248601051574,0.6515067717444367,0.6063492063492064,0.9310163019530208,98.0,5400.4,7.2,63.6
|
||||
lightgbm,yeo_johnson,class_weight,gbdt,0.03,100,0.1,0.1,1.0,1.0,10,5,0.9871434811777045,0.863449771888091,0.8256341947711338,0.8048454076194018,0.9533828520533423,0.9934127773860718,0.9963827135574705,0.9983726647902182,0.9885024551041862,0.7334867663901103,0.6548856759847967,0.6113181504485852,0.9182632490024984,98.8,5398.8,8.8,62.8
|
||||
lightgbm,yeo_johnson,class_weight,gbdt,0.05,100,0.1,0.1,0.8,0.8,10,5,0.987358998405188,0.8658212328853709,0.8277045950376559,0.8067604078073429,0.9566247977036533,0.9935230811207543,0.9964934015324072,0.998483625215177,0.9886121814446716,0.7381193846499876,0.6589157885429044,0.6150371903995093,0.9246374139626351,99.4,5399.4,8.2,62.2
|
||||
lightgbm,yeo_johnson,class_weight,gbdt,0.05,100,0.1,0.1,0.8,1.0,10,5,0.9876462902325743,0.8702280820945317,0.8337605692544805,0.8135218826445911,0.9553624954113376,0.9936685848798849,0.9964855981899191,0.9983726511108216,0.9890093876458101,0.7467875793091783,0.6710355403190421,0.6286711141783605,0.9217156031768651,101.6,5398.8,8.8,60.0
|
||||
lightgbm,yeo_johnson,class_weight,gbdt,0.05,100,0.1,0.1,1.0,0.8,10,5,0.9876103706946605,0.8685306532899453,0.8303217288431941,0.8092965157481593,0.9592309417836985,0.9936518407305781,0.9966115244112512,0.9985945651210407,0.9887583083957047,0.7434094658493124,0.6640319332751371,0.619998466375278,0.9297035751716924,100.2,5400.0,7.6,61.4
|
||||
lightgbm,yeo_johnson,class_weight,gbdt,0.05,100,0.1,0.1,1.0,1.0,10,5,0.9875744640519315,0.8697383859570031,0.8335824387321773,0.8134887344578754,0.9538702717550708,0.993631447606049,0.9964264483135749,0.9982986866137802,0.9890083881850659,0.7458453243079577,0.6707384291507799,0.6286787823019708,0.9187321553250758,101.6,5398.4,9.2,60.0
|
||||
lightgbm,yeo_johnson,class_weight,gbdt,0.1,100,0.1,0.1,0.8,0.8,10,5,0.9876463031277595,0.8696452935291772,0.832345622530247,0.8117216735235644,0.9573224840422384,0.9936693371232203,0.99655223796351,0.9984836046960821,0.988901862104868,0.7456212499351342,0.6681390070969839,0.6249597423510467,0.9257431059796088,101.0,5399.4,8.2,60.6
|
||||
lightgbm,yeo_johnson,class_weight,gbdt,0.1,100,0.1,0.1,0.8,1.0,10,5,0.9879335756123682,0.8735142470990855,0.8373885067575266,0.81727407420208,0.9572776440521376,0.9938154842661611,0.9965889028545231,0.9984466224475614,0.9892278794141068,0.7532130099320097,0.6781881106605302,0.6361015259565985,0.9253274086901682,102.8,5399.2,8.4,58.8
|
||||
lightgbm,yeo_johnson,class_weight,gbdt,0.1,100,0.1,0.1,1.0,0.8,10,5,0.9874667118857822,0.8680481539924493,0.8317553825774301,0.8116330485442184,0.9529694195282257,0.993576898041232,0.9964044843956639,0.9982986866137802,0.9889004742854578,0.7425194099436665,0.6671062807591965,0.6249674104746569,0.9170383647709939,101.0,5398.4,9.2,60.6
|
||||
lightgbm,yeo_johnson,class_weight,gbdt,0.1,100,0.1,0.1,1.0,1.0,10,5,0.9879694887026897,0.8749776173022346,0.840353596310616,0.8209121572972682,0.9537927663883565,0.9938325369626163,0.9964852212462812,0.9982617043652595,0.9894432107974284,0.7561226976418527,0.6842219713749508,0.6435626102292769,0.9181423219792844,104.0,5398.2,9.4,57.6
|
||||
lightgbm,yeo_johnson,class_weight,dart,0.03,100,0.1,0.1,0.8,0.8,10,5,0.9864612162803,0.8517213882755159,0.8087404085309796,0.785885510418824,0.9614784852134713,0.9930685455041811,0.9965093140147973,0.9988164928106563,0.9873866482719492,0.7103742310468509,0.620971503047162,0.5729545280269918,0.9355703221549934,92.6,5401.2,6.4,69.0
|
||||
lightgbm,yeo_johnson,class_weight,dart,0.03,100,0.1,0.1,0.8,1.0,10,5,0.9862816572762855,0.8494531720877854,0.8062811698729515,0.7834055481958557,0.9607205770272069,0.9929769287184236,0.9964502905368763,0.9987795037224373,0.9872419067787573,0.7059294154571474,0.6161120492090266,0.5680315926692738,0.9341992472756562,91.8,5401.0,6.6,69.8
|
||||
lightgbm,yeo_johnson,class_weight,dart,0.03,100,0.1,0.1,1.0,0.8,10,5,0.9868203342883293,0.8567123113396862,0.81462313212734,0.7920698521104123,0.9624609919498163,0.993251161582376,0.9965828464697711,0.9988164928106563,0.9877478834902378,0.7201734610969963,0.632663417784909,0.585323211410168,0.9371741004093945,94.6,5401.2,6.4,67.0
|
||||
lightgbm,yeo_johnson,class_weight,dart,0.03,100,0.1,0.1,1.0,1.0,10,5,0.9863893900996572,0.8516614690849792,0.8095557057072785,0.7870576057488851,0.9579981706050438,0.9930309459196085,0.9964058116257544,0.9986685432974787,0.9874568744274971,0.7102919922503499,0.6227055997888027,0.5754466682002913,0.9285394667825905,93.0,5400.4,7.2,68.6
|
||||
lightgbm,yeo_johnson,class_weight,dart,0.05,100,0.1,0.1,0.8,0.8,10,5,0.9872871464341749,0.8647825564498515,0.8265211036628628,0.8055143377206931,0.9560208920519685,0.9934866215661462,0.9964787449584944,0.998483625215177,0.9885398629294059,0.7360784913335567,0.6565634623672312,0.6125450502262096,0.9235019211745309,99.0,5399.4,8.2,62.6
|
||||
lightgbm,yeo_johnson,class_weight,dart,0.05,100,0.1,0.1,0.8,1.0,10,5,0.9872512526866313,0.864242117798965,0.8255296821802522,0.8043135971909393,0.9568082528265623,0.9934684617996755,0.9964935591422892,0.9985206074636975,0.9884674795460324,0.7350157737982544,0.6545658052182155,0.6101065869181811,0.9251490261070924,98.6,5399.6,8.0,63.0
|
||||
lightgbm,yeo_johnson,class_weight,dart,0.05,100,0.1,0.1,1.0,0.8,10,5,0.9875385574092025,0.867739957700573,0.8292362302142348,0.808058120624818,0.9590571825576781,0.9936151348160316,0.9965968036054408,0.9985945788004372,0.9886852713014047,0.7418647805851146,0.6618756568230287,0.6175216624491988,0.9294290938139514,99.8,5400.0,7.6,61.8
|
||||
lightgbm,yeo_johnson,class_weight,dart,0.05,100,0.1,0.1,1.0,1.0,10,5,0.9878617429841328,0.8718918805916948,0.8343953837040834,0.8136405111931599,0.9597257588431093,0.9937798152798208,0.9966630340635951,0.998594571960739,0.9890116522948971,0.7500039459035688,0.6721277333445717,0.6286864504255809,0.9304398653913216,101.6,5400.0,7.6,60.0
|
||||
lightgbm,yeo_johnson,class_weight,dart,0.1,100,0.1,0.1,0.8,0.8,10,5,0.9875744511567464,0.8694904253032434,0.8330898747073772,0.8128784428659526,0.9543165483350643,0.9936317630222906,0.9964486981215537,0.9983356757019992,0.9889726061606664,0.7453490875841962,0.6697310512932007,0.6274212100299057,0.9196604905094622,101.4,5398.6,9.0,60.2
|
||||
lightgbm,yeo_johnson,class_weight,dart,0.1,100,0.1,0.1,0.8,1.0,10,5,0.9877540230559461,0.8705274306318904,0.8326760658152557,0.8117771571558929,0.9596652466682235,0.993724889952756,0.9966409360538494,0.998594571960739,0.9889028548898798,0.7473299713110246,0.6687111955766621,0.6249597423510467,0.930427638446567,101.0,5400.0,7.6,60.6
|
||||
lightgbm,yeo_johnson,class_weight,dart,0.1,100,0.1,0.1,1.0,0.8,10,5,0.9878976496268617,0.8740424916234224,0.8391944377539111,0.819654574765656,0.9536373604366759,0.9937959382660164,0.9964704965030846,0.9982616838461646,0.9893706349659366,0.7542890449808285,0.681918379004738,0.6410474656851469,0.9179040859074152,103.6,5398.2,9.4,58.0
|
||||
lightgbm,yeo_johnson,class_weight,dart,0.1,100,0.1,0.1,1.0,1.0,10,5,0.98804128264537,0.8754763636546178,0.8405284491350876,0.8209184704711975,0.9551236805467838,0.9938696715557122,0.9965444000780066,0.9983356757019992,0.9894439864987652,0.7570830557535235,0.6845124981921686,0.6435012652403957,0.9208033745948025,104.0,5398.6,9.0,57.6
|
||||
|
193
lightgbm_tuning_results_no_x.csv
Normal file
193
lightgbm_tuning_results_no_x.csv
Normal file
@@ -0,0 +1,193 @@
|
||||
model,scaling_method,sampling_method,boosting_type,learning_rate,num_leaves,l2_reg,l1_reg,tree_subsample,subsample,k_neighbors,kmeans_estimator,accuracy,f1_macro,f2_macro,recall_macro,precision_macro,f1_class0,f2_class0,recall_class0,precision_class0,f1_class1,f2_class1,recall_class1,precision_class1,TP,TN,FP,FN
|
||||
lightgbm,standard_scaling,KMeansSMOTE,gbdt,0.03,100,0.1,0.1,0.8,0.8,10,5,0.9881849543494331,0.8761798360649788,0.8399864981305395,0.8197871846117641,0.9595825668905483,0.9939443189230804,0.9967070868186572,0.9985575760328217,0.9893739563072899,0.758415353206877,0.6832659094424218,0.6410167931907063,0.929791177473807,103.6,5399.8,7.8,58.0
|
||||
lightgbm,standard_scaling,KMeansSMOTE,gbdt,0.03,100,0.1,0.1,0.8,1.0,10,5,0.9880772279736538,0.8755597425778312,0.8401582264805038,0.8203381756087991,0.9566296325158377,0.9938884586503998,0.9965961802329308,0.998409653878437,0.9894085843953766,0.7572310265052625,0.6837202727280767,0.6422666973391611,0.9238506806362988,103.8,5399.0,8.6,57.8
|
||||
lightgbm,standard_scaling,KMeansSMOTE,gbdt,0.03,100,0.1,0.1,1.0,0.8,10,5,0.9878258234462189,0.8722851406960276,0.8365212128466958,0.8166006445336148,0.9551809993319686,0.9937603623772743,0.996522506707841,0.9983726716299165,0.9891913946711819,0.7508099190147808,0.6765199189855505,0.6348286174373131,0.9211706039927551,102.6,5398.8,8.8,59.0
|
||||
lightgbm,standard_scaling,KMeansSMOTE,gbdt,0.03,100,0.1,0.1,1.0,1.0,10,5,0.987610351351883,0.8706042298067944,0.8355293337102492,0.8158908981219974,0.9508365422039677,0.9936492739314107,0.9963673457020088,0.9981877467079163,0.9891522589395396,0.747559185682178,0.6746913217184896,0.6335940495360785,0.9125208254683959,102.4,5397.8,9.8,59.2
|
||||
lightgbm,standard_scaling,KMeansSMOTE,gbdt,0.05,100,0.1,0.1,0.8,0.8,10,5,0.9881490477067041,0.8774577091759662,0.8440444543370151,0.8251923354809616,0.9529167191680059,0.9939237334882094,0.9964776210261871,0.9981877535476148,0.9896971452267926,0.760991684863723,0.6916112876478433,0.6521969174143087,0.9161362931092192,105.4,5397.8,9.8,56.2
|
||||
lightgbm,standard_scaling,KMeansSMOTE,gbdt,0.05,100,0.1,0.1,0.8,1.0,10,5,0.9884004199961766,0.8803823678245559,0.8475251035980177,0.8289068553456174,0.9539409840039681,0.994052204957895,0.9965513909753712,0.9982247221167387,0.989915469173807,0.7667125306912166,0.6984988162206645,0.6595889885744958,0.9179664988341292,106.6,5398.0,9.6,55.0
|
||||
lightgbm,standard_scaling,KMeansSMOTE,gbdt,0.05,100,0.1,0.1,1.0,0.8,10,5,0.9881490283639266,0.8773612738208023,0.8439857872830707,0.8251884945794583,0.9531520736778006,0.9939237932284366,0.9964775898375432,0.9981877398682182,0.9896976606399429,0.7607987544131682,0.6914939847285985,0.6521892492906984,0.9166064867156585,105.4,5397.8,9.8,56.2
|
||||
lightgbm,standard_scaling,KMeansSMOTE,gbdt,0.05,100,0.1,0.1,1.0,1.0,10,5,0.9885440723574623,0.8818376656161935,0.8484932809920889,0.8295987863978901,0.9563870139018948,0.9941259419245195,0.9966474214209219,0.9983356757019992,0.989952293650885,0.7695493893078675,0.7003391405632555,0.6608618970937811,0.9228217341529049,106.8,5398.6,9.0,54.8
|
||||
lightgbm,standard_scaling,KMeansSMOTE,gbdt,0.1,100,0.1,0.1,0.8,0.8,10,5,0.9883285938155337,0.8803372521410633,0.8483294005616949,0.8300827847374833,0.9510320495410225,0.9940145120515872,0.996447807463824,0.9980767726035612,0.9899858638027087,0.7666599922305395,0.7002109936595659,0.6620887968714055,0.9120782352793364,107.0,5397.2,10.4,54.6
|
||||
lightgbm,standard_scaling,KMeansSMOTE,gbdt,0.1,100,0.1,0.1,0.8,1.0,10,5,0.9882927065155824,0.8802666338750796,0.848686714225734,0.8306745954646935,0.9499968824015692,0.9939956863968662,0.9963959778495781,0.9980028217859163,0.9900215738616428,0.7665375813532929,0.7009774506018898,0.6633463691434706,0.9099721909414956,107.2,5396.8,10.8,54.4
|
||||
lightgbm,standard_scaling,KMeansSMOTE,gbdt,0.1,100,0.1,0.1,1.0,0.8,10,5,0.9881131281687903,0.8773653063685363,0.8444343006699695,0.8257726235036618,0.9509773398803787,0.993905008386758,0.9964259022952799,0.9981137616917802,0.9897323184000513,0.7608256043503145,0.692442699044659,0.6534314853155433,0.912222361360706,105.6,5397.4,10.2,56.0
|
||||
lightgbm,standard_scaling,KMeansSMOTE,gbdt,0.1,100,0.1,0.1,1.0,1.0,10,5,0.9884363395340905,0.882440120485289,0.8522584834609825,0.8349516085117996,0.9484559673647711,0.994068369700958,0.996358778502092,0.9978918682006558,0.990275419184807,0.77081187126962,0.7081581884198731,0.672011348822943,0.906636515544735,108.6,5396.2,11.4,53.0
|
||||
lightgbm,standard_scaling,KMeansSMOTE,dart,0.03,100,0.1,0.1,0.8,0.8,10,5,0.9866407559415371,0.8546665330736074,0.8126730010096962,0.7901810145901905,0.9601930891408689,0.9931593366101316,0.9965016973084755,0.9987425214739167,0.9876385054740707,0.7161737295370834,0.6288443047109171,0.5816195077064642,0.9327476728076667,94.0,5400.8,6.8,67.6
|
||||
lightgbm,standard_scaling,KMeansSMOTE,dart,0.03,100,0.1,0.1,0.8,1.0,10,5,0.9866766754794511,0.8562656039325315,0.8157208012971658,0.7938114193022212,0.9561674476952969,0.9931763205513544,0.996398065776716,0.9985575828725199,0.9878529875334605,0.7193548873137088,0.6350435368176157,0.5890652557319224,0.9244819078571332,95.2,5399.8,7.8,66.4
|
||||
lightgbm,standard_scaling,KMeansSMOTE,dart,0.03,100,0.1,0.1,1.0,0.8,10,5,0.9866407623891297,0.85485183954347,0.813141177819694,0.7907836380585034,0.9596305506301259,0.9931590888887267,0.9964794763987621,0.9987055323856977,0.987674407032048,0.7165445901982129,0.6298028792406256,0.582861743731309,0.9315866942282037,94.2,5400.6,7.0,67.4
|
||||
lightgbm,standard_scaling,KMeansSMOTE,dart,0.03,100,0.1,0.1,1.0,1.0,10,5,0.9863534576665582,0.8524410610175085,0.8118841017723559,0.7900407297807739,0.9532261113685625,0.99301114416589,0.9962652483534293,0.9984466156078632,0.9876349687544448,0.7118709778691268,0.6275029551912825,0.5816348439536845,0.9188172539826802,94.0,5399.2,8.4,67.6
|
||||
lightgbm,standard_scaling,KMeansSMOTE,dart,0.05,100,0.1,0.1,0.8,0.8,10,5,0.9877899103558974,0.8714052781878057,0.8346059949858393,0.8141831514619706,0.9571870047441049,0.9937426436247268,0.9965817523575563,0.998483625215177,0.9890469774271224,0.7490679127508842,0.6726302376141222,0.6298826777087646,0.9253270320610874,101.8,5399.4,8.2,59.8
|
||||
lightgbm,standard_scaling,KMeansSMOTE,dart,0.05,100,0.1,0.1,0.8,1.0,10,5,0.9876462966801668,0.8695998735920025,0.8319443725944122,0.8111190534751007,0.9578692720049287,0.9936694608377754,0.9965744560269526,0.9985206006239993,0.9888653579636955,0.7455302863462296,0.6673142891618721,0.623717506326202,0.9268731860461619,100.8,5399.6,8.0,60.8
|
||||
lightgbm,standard_scaling,KMeansSMOTE,dart,0.05,100,0.1,0.1,1.0,0.8,10,5,0.9878258427889964,0.8724485327957294,0.8362139231422093,0.8160171913743273,0.9560749963834774,0.9937602594085198,0.99654465147448,0.9984096607181355,0.9891542684628938,0.7511368061829391,0.6758831948099385,0.6336247220305192,0.9229957243040608,102.4,5399.0,8.6,59.2
|
||||
lightgbm,standard_scaling,KMeansSMOTE,dart,0.05,100,0.1,0.1,1.0,1.0,10,5,0.9877180906228471,0.8707001184419794,0.8339432909549597,0.8135435354855897,0.9563510563367066,0.9937057809174661,0.9965448162958349,0.9984466292872597,0.9890101945198115,0.7476944559664926,0.6713417656140843,0.62864044168392,0.9236919181536019,101.6,5399.2,8.4,60.0
|
||||
lightgbm,standard_scaling,KMeansSMOTE,dart,0.1,100,0.1,0.1,0.8,0.8,10,5,0.9880053953454185,0.8763238649159562,0.8432651737595419,0.8245118929347075,0.949940086104115,0.9938497322377776,0.9963816132484633,0.9980767726035612,0.9896586369846668,0.7587979975941346,0.6901487342706207,0.6509470132658537,0.9102215352235625,105.2,5397.2,10.4,56.4
|
||||
lightgbm,standard_scaling,KMeansSMOTE,dart,0.1,100,0.1,0.1,0.8,1.0,10,5,0.9884004328913616,0.8807095163898977,0.8476959631018479,0.8289145234692274,0.9537631067371821,0.9940518989065807,0.9965513767258839,0.9982247221167387,0.9899139737723412,0.7673671338732146,0.698840549477812,0.6596043248217162,0.917612239702023,106.6,5398.0,9.6,55.0
|
||||
lightgbm,standard_scaling,KMeansSMOTE,dart,0.1,100,0.1,0.1,1.0,0.8,10,5,0.9881131410639752,0.8770252049462333,0.8431245146880986,0.8239762381848926,0.9532208817917696,0.9939054940732314,0.9964924688637533,0.9982246947579458,0.989623906634497,0.7601449158192348,0.6897565605124437,0.6497277816118396,0.9168178569490422,105.0,5398.0,9.6,56.6
|
||||
lightgbm,standard_scaling,KMeansSMOTE,dart,0.1,100,0.1,0.1,1.0,1.0,10,5,0.9884363395340905,0.881485361825737,0.8491640485208054,0.8307370611961687,0.9527894102125524,0.9940697428524142,0.996514280814605,0.9981507576196973,0.9900224250352128,0.7689009807990599,0.7018138162270058,0.6633233647726401,0.915556395389892,107.2,5397.6,10.0,54.4
|
||||
lightgbm,standard_scaling,class_weight,gbdt,0.03,100,0.1,0.1,0.8,0.8,10,5,0.9881849543494331,0.8761798360649788,0.8399864981305395,0.8197871846117641,0.9595825668905483,0.9939443189230804,0.9967070868186572,0.9985575760328217,0.9893739563072899,0.758415353206877,0.6832659094424218,0.6410167931907063,0.929791177473807,103.6,5399.8,7.8,58.0
|
||||
lightgbm,standard_scaling,class_weight,gbdt,0.03,100,0.1,0.1,0.8,1.0,10,5,0.9880772279736538,0.8755597425778312,0.8401582264805038,0.8203381756087991,0.9566296325158377,0.9938884586503998,0.9965961802329308,0.998409653878437,0.9894085843953766,0.7572310265052625,0.6837202727280767,0.6422666973391611,0.9238506806362988,103.8,5399.0,8.6,57.8
|
||||
lightgbm,standard_scaling,class_weight,gbdt,0.03,100,0.1,0.1,1.0,0.8,10,5,0.9878258234462189,0.8722851406960276,0.8365212128466958,0.8166006445336148,0.9551809993319686,0.9937603623772743,0.996522506707841,0.9983726716299165,0.9891913946711819,0.7508099190147808,0.6765199189855505,0.6348286174373131,0.9211706039927551,102.6,5398.8,8.8,59.0
|
||||
lightgbm,standard_scaling,class_weight,gbdt,0.03,100,0.1,0.1,1.0,1.0,10,5,0.987610351351883,0.8706042298067944,0.8355293337102492,0.8158908981219974,0.9508365422039677,0.9936492739314107,0.9963673457020088,0.9981877467079163,0.9891522589395396,0.747559185682178,0.6746913217184896,0.6335940495360785,0.9125208254683959,102.4,5397.8,9.8,59.2
|
||||
lightgbm,standard_scaling,class_weight,gbdt,0.05,100,0.1,0.1,0.8,0.8,10,5,0.9881490477067041,0.8774577091759662,0.8440444543370151,0.8251923354809616,0.9529167191680059,0.9939237334882094,0.9964776210261871,0.9981877535476148,0.9896971452267926,0.760991684863723,0.6916112876478433,0.6521969174143087,0.9161362931092192,105.4,5397.8,9.8,56.2
|
||||
lightgbm,standard_scaling,class_weight,gbdt,0.05,100,0.1,0.1,0.8,1.0,10,5,0.9884004199961766,0.8803823678245559,0.8475251035980177,0.8289068553456174,0.9539409840039681,0.994052204957895,0.9965513909753712,0.9982247221167387,0.989915469173807,0.7667125306912166,0.6984988162206645,0.6595889885744958,0.9179664988341292,106.6,5398.0,9.6,55.0
|
||||
lightgbm,standard_scaling,class_weight,gbdt,0.05,100,0.1,0.1,1.0,0.8,10,5,0.9881490283639266,0.8773612738208023,0.8439857872830707,0.8251884945794583,0.9531520736778006,0.9939237932284366,0.9964775898375432,0.9981877398682182,0.9896976606399429,0.7607987544131682,0.6914939847285985,0.6521892492906984,0.9166064867156585,105.4,5397.8,9.8,56.2
|
||||
lightgbm,standard_scaling,class_weight,gbdt,0.05,100,0.1,0.1,1.0,1.0,10,5,0.9885440723574623,0.8818376656161935,0.8484932809920889,0.8295987863978901,0.9563870139018948,0.9941259419245195,0.9966474214209219,0.9983356757019992,0.989952293650885,0.7695493893078675,0.7003391405632555,0.6608618970937811,0.9228217341529049,106.8,5398.6,9.0,54.8
|
||||
lightgbm,standard_scaling,class_weight,gbdt,0.1,100,0.1,0.1,0.8,0.8,10,5,0.9883285938155337,0.8803372521410633,0.8483294005616949,0.8300827847374833,0.9510320495410225,0.9940145120515872,0.996447807463824,0.9980767726035612,0.9899858638027087,0.7666599922305395,0.7002109936595659,0.6620887968714055,0.9120782352793364,107.0,5397.2,10.4,54.6
|
||||
lightgbm,standard_scaling,class_weight,gbdt,0.1,100,0.1,0.1,0.8,1.0,10,5,0.9882927065155824,0.8802666338750796,0.848686714225734,0.8306745954646935,0.9499968824015692,0.9939956863968662,0.9963959778495781,0.9980028217859163,0.9900215738616428,0.7665375813532929,0.7009774506018898,0.6633463691434706,0.9099721909414956,107.2,5396.8,10.8,54.4
|
||||
lightgbm,standard_scaling,class_weight,gbdt,0.1,100,0.1,0.1,1.0,0.8,10,5,0.9881131281687903,0.8773653063685363,0.8444343006699695,0.8257726235036618,0.9509773398803787,0.993905008386758,0.9964259022952799,0.9981137616917802,0.9897323184000513,0.7608256043503145,0.692442699044659,0.6534314853155433,0.912222361360706,105.6,5397.4,10.2,56.0
|
||||
lightgbm,standard_scaling,class_weight,gbdt,0.1,100,0.1,0.1,1.0,1.0,10,5,0.9884363395340905,0.882440120485289,0.8522584834609825,0.8349516085117996,0.9484559673647711,0.994068369700958,0.996358778502092,0.9978918682006558,0.990275419184807,0.77081187126962,0.7081581884198731,0.672011348822943,0.906636515544735,108.6,5396.2,11.4,53.0
|
||||
lightgbm,standard_scaling,class_weight,dart,0.03,100,0.1,0.1,0.8,0.8,10,5,0.9866407559415371,0.8546665330736074,0.8126730010096962,0.7901810145901905,0.9601930891408689,0.9931593366101316,0.9965016973084755,0.9987425214739167,0.9876385054740707,0.7161737295370834,0.6288443047109171,0.5816195077064642,0.9327476728076667,94.0,5400.8,6.8,67.6
|
||||
lightgbm,standard_scaling,class_weight,dart,0.03,100,0.1,0.1,0.8,1.0,10,5,0.9866766754794511,0.8562656039325315,0.8157208012971658,0.7938114193022212,0.9561674476952969,0.9931763205513544,0.996398065776716,0.9985575828725199,0.9878529875334605,0.7193548873137088,0.6350435368176157,0.5890652557319224,0.9244819078571332,95.2,5399.8,7.8,66.4
|
||||
lightgbm,standard_scaling,class_weight,dart,0.03,100,0.1,0.1,1.0,0.8,10,5,0.9866407623891297,0.85485183954347,0.813141177819694,0.7907836380585034,0.9596305506301259,0.9931590888887267,0.9964794763987621,0.9987055323856977,0.987674407032048,0.7165445901982129,0.6298028792406256,0.582861743731309,0.9315866942282037,94.2,5400.6,7.0,67.4
|
||||
lightgbm,standard_scaling,class_weight,dart,0.03,100,0.1,0.1,1.0,1.0,10,5,0.9863534576665582,0.8524410610175085,0.8118841017723559,0.7900407297807739,0.9532261113685625,0.99301114416589,0.9962652483534293,0.9984466156078632,0.9876349687544448,0.7118709778691268,0.6275029551912825,0.5816348439536845,0.9188172539826802,94.0,5399.2,8.4,67.6
|
||||
lightgbm,standard_scaling,class_weight,dart,0.05,100,0.1,0.1,0.8,0.8,10,5,0.9877899103558974,0.8714052781878057,0.8346059949858393,0.8141831514619706,0.9571870047441049,0.9937426436247268,0.9965817523575563,0.998483625215177,0.9890469774271224,0.7490679127508842,0.6726302376141222,0.6298826777087646,0.9253270320610874,101.8,5399.4,8.2,59.8
|
||||
lightgbm,standard_scaling,class_weight,dart,0.05,100,0.1,0.1,0.8,1.0,10,5,0.9876462966801668,0.8695998735920025,0.8319443725944122,0.8111190534751007,0.9578692720049287,0.9936694608377754,0.9965744560269526,0.9985206006239993,0.9888653579636955,0.7455302863462296,0.6673142891618721,0.623717506326202,0.9268731860461619,100.8,5399.6,8.0,60.8
|
||||
lightgbm,standard_scaling,class_weight,dart,0.05,100,0.1,0.1,1.0,0.8,10,5,0.9878258427889964,0.8724485327957294,0.8362139231422093,0.8160171913743273,0.9560749963834774,0.9937602594085198,0.99654465147448,0.9984096607181355,0.9891542684628938,0.7511368061829391,0.6758831948099385,0.6336247220305192,0.9229957243040608,102.4,5399.0,8.6,59.2
|
||||
lightgbm,standard_scaling,class_weight,dart,0.05,100,0.1,0.1,1.0,1.0,10,5,0.9877180906228471,0.8707001184419794,0.8339432909549597,0.8135435354855897,0.9563510563367066,0.9937057809174661,0.9965448162958349,0.9984466292872597,0.9890101945198115,0.7476944559664926,0.6713417656140843,0.62864044168392,0.9236919181536019,101.6,5399.2,8.4,60.0
|
||||
lightgbm,standard_scaling,class_weight,dart,0.1,100,0.1,0.1,0.8,0.8,10,5,0.9880053953454185,0.8763238649159562,0.8432651737595419,0.8245118929347075,0.949940086104115,0.9938497322377776,0.9963816132484633,0.9980767726035612,0.9896586369846668,0.7587979975941346,0.6901487342706207,0.6509470132658537,0.9102215352235625,105.2,5397.2,10.4,56.4
|
||||
lightgbm,standard_scaling,class_weight,dart,0.1,100,0.1,0.1,0.8,1.0,10,5,0.9884004328913616,0.8807095163898977,0.8476959631018479,0.8289145234692274,0.9537631067371821,0.9940518989065807,0.9965513767258839,0.9982247221167387,0.9899139737723412,0.7673671338732146,0.698840549477812,0.6596043248217162,0.917612239702023,106.6,5398.0,9.6,55.0
|
||||
lightgbm,standard_scaling,class_weight,dart,0.1,100,0.1,0.1,1.0,0.8,10,5,0.9881131410639752,0.8770252049462333,0.8431245146880986,0.8239762381848926,0.9532208817917696,0.9939054940732314,0.9964924688637533,0.9982246947579458,0.989623906634497,0.7601449158192348,0.6897565605124437,0.6497277816118396,0.9168178569490422,105.0,5398.0,9.6,56.6
|
||||
lightgbm,standard_scaling,class_weight,dart,0.1,100,0.1,0.1,1.0,1.0,10,5,0.9884363395340905,0.881485361825737,0.8491640485208054,0.8307370611961687,0.9527894102125524,0.9940697428524142,0.996514280814605,0.9981507576196973,0.9900224250352128,0.7689009807990599,0.7018138162270058,0.6633233647726401,0.915556395389892,107.2,5397.6,10.0,54.4
|
||||
lightgbm,robust_scaling,KMeansSMOTE,gbdt,0.03,100,0.1,0.1,0.8,0.8,10,5,0.9881849543494331,0.8761798360649788,0.8399864981305395,0.8197871846117641,0.9595825668905483,0.9939443189230804,0.9967070868186572,0.9985575760328217,0.9893739563072899,0.758415353206877,0.6832659094424218,0.6410167931907063,0.929791177473807,103.6,5399.8,7.8,58.0
|
||||
lightgbm,robust_scaling,KMeansSMOTE,gbdt,0.03,100,0.1,0.1,0.8,1.0,10,5,0.9880772279736538,0.8755597425778312,0.8401582264805038,0.8203381756087991,0.9566296325158377,0.9938884586503998,0.9965961802329308,0.998409653878437,0.9894085843953766,0.7572310265052625,0.6837202727280767,0.6422666973391611,0.9238506806362988,103.8,5399.0,8.6,57.8
|
||||
lightgbm,robust_scaling,KMeansSMOTE,gbdt,0.03,100,0.1,0.1,1.0,0.8,10,5,0.9878258234462189,0.8722851406960276,0.8365212128466958,0.8166006445336148,0.9551809993319686,0.9937603623772743,0.996522506707841,0.9983726716299165,0.9891913946711819,0.7508099190147808,0.6765199189855505,0.6348286174373131,0.9211706039927551,102.6,5398.8,8.8,59.0
|
||||
lightgbm,robust_scaling,KMeansSMOTE,gbdt,0.03,100,0.1,0.1,1.0,1.0,10,5,0.987610351351883,0.8706042298067944,0.8355293337102492,0.8158908981219974,0.9508365422039677,0.9936492739314107,0.9963673457020088,0.9981877467079163,0.9891522589395396,0.747559185682178,0.6746913217184896,0.6335940495360785,0.9125208254683959,102.4,5397.8,9.8,59.2
|
||||
lightgbm,robust_scaling,KMeansSMOTE,gbdt,0.05,100,0.1,0.1,0.8,0.8,10,5,0.9881490477067041,0.8774577091759662,0.8440444543370151,0.8251923354809616,0.9529167191680059,0.9939237334882094,0.9964776210261871,0.9981877535476148,0.9896971452267926,0.760991684863723,0.6916112876478433,0.6521969174143087,0.9161362931092192,105.4,5397.8,9.8,56.2
|
||||
lightgbm,robust_scaling,KMeansSMOTE,gbdt,0.05,100,0.1,0.1,0.8,1.0,10,5,0.9884004199961766,0.8803823678245559,0.8475251035980177,0.8289068553456174,0.9539409840039681,0.994052204957895,0.9965513909753712,0.9982247221167387,0.989915469173807,0.7667125306912166,0.6984988162206645,0.6595889885744958,0.9179664988341292,106.6,5398.0,9.6,55.0
|
||||
lightgbm,robust_scaling,KMeansSMOTE,gbdt,0.05,100,0.1,0.1,1.0,0.8,10,5,0.9881490283639266,0.8773612738208023,0.8439857872830707,0.8251884945794583,0.9531520736778006,0.9939237932284366,0.9964775898375432,0.9981877398682182,0.9896976606399429,0.7607987544131682,0.6914939847285985,0.6521892492906984,0.9166064867156585,105.4,5397.8,9.8,56.2
|
||||
lightgbm,robust_scaling,KMeansSMOTE,gbdt,0.05,100,0.1,0.1,1.0,1.0,10,5,0.9885440723574623,0.8818376656161935,0.8484932809920889,0.8295987863978901,0.9563870139018948,0.9941259419245195,0.9966474214209219,0.9983356757019992,0.989952293650885,0.7695493893078675,0.7003391405632555,0.6608618970937811,0.9228217341529049,106.8,5398.6,9.0,54.8
|
||||
lightgbm,robust_scaling,KMeansSMOTE,gbdt,0.1,100,0.1,0.1,0.8,0.8,10,5,0.9883285938155337,0.8803372521410633,0.8483294005616949,0.8300827847374833,0.9510320495410225,0.9940145120515872,0.996447807463824,0.9980767726035612,0.9899858638027087,0.7666599922305395,0.7002109936595659,0.6620887968714055,0.9120782352793364,107.0,5397.2,10.4,54.6
|
||||
lightgbm,robust_scaling,KMeansSMOTE,gbdt,0.1,100,0.1,0.1,0.8,1.0,10,5,0.9882927065155824,0.8802666338750796,0.848686714225734,0.8306745954646935,0.9499968824015692,0.9939956863968662,0.9963959778495781,0.9980028217859163,0.9900215738616428,0.7665375813532929,0.7009774506018898,0.6633463691434706,0.9099721909414956,107.2,5396.8,10.8,54.4
|
||||
lightgbm,robust_scaling,KMeansSMOTE,gbdt,0.1,100,0.1,0.1,1.0,0.8,10,5,0.9881131281687903,0.8773653063685363,0.8444343006699695,0.8257726235036618,0.9509773398803787,0.993905008386758,0.9964259022952799,0.9981137616917802,0.9897323184000513,0.7608256043503145,0.692442699044659,0.6534314853155433,0.912222361360706,105.6,5397.4,10.2,56.0
|
||||
lightgbm,robust_scaling,KMeansSMOTE,gbdt,0.1,100,0.1,0.1,1.0,1.0,10,5,0.9884363395340905,0.882440120485289,0.8522584834609825,0.8349516085117996,0.9484559673647711,0.994068369700958,0.996358778502092,0.9978918682006558,0.990275419184807,0.77081187126962,0.7081581884198731,0.672011348822943,0.906636515544735,108.6,5396.2,11.4,53.0
|
||||
lightgbm,robust_scaling,KMeansSMOTE,dart,0.03,100,0.1,0.1,0.8,0.8,10,5,0.9866407559415371,0.8546665330736074,0.8126730010096962,0.7901810145901905,0.9601930891408689,0.9931593366101316,0.9965016973084755,0.9987425214739167,0.9876385054740707,0.7161737295370834,0.6288443047109171,0.5816195077064642,0.9327476728076667,94.0,5400.8,6.8,67.6
|
||||
lightgbm,robust_scaling,KMeansSMOTE,dart,0.03,100,0.1,0.1,0.8,1.0,10,5,0.9866766754794511,0.8562656039325315,0.8157208012971658,0.7938114193022212,0.9561674476952969,0.9931763205513544,0.996398065776716,0.9985575828725199,0.9878529875334605,0.7193548873137088,0.6350435368176157,0.5890652557319224,0.9244819078571332,95.2,5399.8,7.8,66.4
|
||||
lightgbm,robust_scaling,KMeansSMOTE,dart,0.03,100,0.1,0.1,1.0,0.8,10,5,0.9866407623891297,0.85485183954347,0.813141177819694,0.7907836380585034,0.9596305506301259,0.9931590888887267,0.9964794763987621,0.9987055323856977,0.987674407032048,0.7165445901982129,0.6298028792406256,0.582861743731309,0.9315866942282037,94.2,5400.6,7.0,67.4
|
||||
lightgbm,robust_scaling,KMeansSMOTE,dart,0.03,100,0.1,0.1,1.0,1.0,10,5,0.9863534576665582,0.8524410610175085,0.8118841017723559,0.7900407297807739,0.9532261113685625,0.99301114416589,0.9962652483534293,0.9984466156078632,0.9876349687544448,0.7118709778691268,0.6275029551912825,0.5816348439536845,0.9188172539826802,94.0,5399.2,8.4,67.6
|
||||
lightgbm,robust_scaling,KMeansSMOTE,dart,0.05,100,0.1,0.1,0.8,0.8,10,5,0.9877899103558974,0.8714052781878057,0.8346059949858393,0.8141831514619706,0.9571870047441049,0.9937426436247268,0.9965817523575563,0.998483625215177,0.9890469774271224,0.7490679127508842,0.6726302376141222,0.6298826777087646,0.9253270320610874,101.8,5399.4,8.2,59.8
|
||||
lightgbm,robust_scaling,KMeansSMOTE,dart,0.05,100,0.1,0.1,0.8,1.0,10,5,0.9876462966801668,0.8695998735920025,0.8319443725944122,0.8111190534751007,0.9578692720049287,0.9936694608377754,0.9965744560269526,0.9985206006239993,0.9888653579636955,0.7455302863462296,0.6673142891618721,0.623717506326202,0.9268731860461619,100.8,5399.6,8.0,60.8
|
||||
lightgbm,robust_scaling,KMeansSMOTE,dart,0.05,100,0.1,0.1,1.0,0.8,10,5,0.9878258427889964,0.8724485327957294,0.8362139231422093,0.8160171913743273,0.9560749963834774,0.9937602594085198,0.99654465147448,0.9984096607181355,0.9891542684628938,0.7511368061829391,0.6758831948099385,0.6336247220305192,0.9229957243040608,102.4,5399.0,8.6,59.2
|
||||
lightgbm,robust_scaling,KMeansSMOTE,dart,0.05,100,0.1,0.1,1.0,1.0,10,5,0.9877180906228471,0.8707001184419794,0.8339432909549597,0.8135435354855897,0.9563510563367066,0.9937057809174661,0.9965448162958349,0.9984466292872597,0.9890101945198115,0.7476944559664926,0.6713417656140843,0.62864044168392,0.9236919181536019,101.6,5399.2,8.4,60.0
|
||||
lightgbm,robust_scaling,KMeansSMOTE,dart,0.1,100,0.1,0.1,0.8,0.8,10,5,0.9880053953454185,0.8763238649159562,0.8432651737595419,0.8245118929347075,0.949940086104115,0.9938497322377776,0.9963816132484633,0.9980767726035612,0.9896586369846668,0.7587979975941346,0.6901487342706207,0.6509470132658537,0.9102215352235625,105.2,5397.2,10.4,56.4
|
||||
lightgbm,robust_scaling,KMeansSMOTE,dart,0.1,100,0.1,0.1,0.8,1.0,10,5,0.9884004328913616,0.8807095163898977,0.8476959631018479,0.8289145234692274,0.9537631067371821,0.9940518989065807,0.9965513767258839,0.9982247221167387,0.9899139737723412,0.7673671338732146,0.698840549477812,0.6596043248217162,0.917612239702023,106.6,5398.0,9.6,55.0
|
||||
lightgbm,robust_scaling,KMeansSMOTE,dart,0.1,100,0.1,0.1,1.0,0.8,10,5,0.9881131410639752,0.8770252049462333,0.8431245146880986,0.8239762381848926,0.9532208817917696,0.9939054940732314,0.9964924688637533,0.9982246947579458,0.989623906634497,0.7601449158192348,0.6897565605124437,0.6497277816118396,0.9168178569490422,105.0,5398.0,9.6,56.6
|
||||
lightgbm,robust_scaling,KMeansSMOTE,dart,0.1,100,0.1,0.1,1.0,1.0,10,5,0.9884363395340905,0.881485361825737,0.8491640485208054,0.8307370611961687,0.9527894102125524,0.9940697428524142,0.996514280814605,0.9981507576196973,0.9900224250352128,0.7689009807990599,0.7018138162270058,0.6633233647726401,0.915556395389892,107.2,5397.6,10.0,54.4
|
||||
lightgbm,robust_scaling,class_weight,gbdt,0.03,100,0.1,0.1,0.8,0.8,10,5,0.9881849543494331,0.8761798360649788,0.8399864981305395,0.8197871846117641,0.9595825668905483,0.9939443189230804,0.9967070868186572,0.9985575760328217,0.9893739563072899,0.758415353206877,0.6832659094424218,0.6410167931907063,0.929791177473807,103.6,5399.8,7.8,58.0
|
||||
lightgbm,robust_scaling,class_weight,gbdt,0.03,100,0.1,0.1,0.8,1.0,10,5,0.9880772279736538,0.8755597425778312,0.8401582264805038,0.8203381756087991,0.9566296325158377,0.9938884586503998,0.9965961802329308,0.998409653878437,0.9894085843953766,0.7572310265052625,0.6837202727280767,0.6422666973391611,0.9238506806362988,103.8,5399.0,8.6,57.8
|
||||
lightgbm,robust_scaling,class_weight,gbdt,0.03,100,0.1,0.1,1.0,0.8,10,5,0.9878258234462189,0.8722851406960276,0.8365212128466958,0.8166006445336148,0.9551809993319686,0.9937603623772743,0.996522506707841,0.9983726716299165,0.9891913946711819,0.7508099190147808,0.6765199189855505,0.6348286174373131,0.9211706039927551,102.6,5398.8,8.8,59.0
|
||||
lightgbm,robust_scaling,class_weight,gbdt,0.03,100,0.1,0.1,1.0,1.0,10,5,0.987610351351883,0.8706042298067944,0.8355293337102492,0.8158908981219974,0.9508365422039677,0.9936492739314107,0.9963673457020088,0.9981877467079163,0.9891522589395396,0.747559185682178,0.6746913217184896,0.6335940495360785,0.9125208254683959,102.4,5397.8,9.8,59.2
|
||||
lightgbm,robust_scaling,class_weight,gbdt,0.05,100,0.1,0.1,0.8,0.8,10,5,0.9881490477067041,0.8774577091759662,0.8440444543370151,0.8251923354809616,0.9529167191680059,0.9939237334882094,0.9964776210261871,0.9981877535476148,0.9896971452267926,0.760991684863723,0.6916112876478433,0.6521969174143087,0.9161362931092192,105.4,5397.8,9.8,56.2
|
||||
lightgbm,robust_scaling,class_weight,gbdt,0.05,100,0.1,0.1,0.8,1.0,10,5,0.9884004199961766,0.8803823678245559,0.8475251035980177,0.8289068553456174,0.9539409840039681,0.994052204957895,0.9965513909753712,0.9982247221167387,0.989915469173807,0.7667125306912166,0.6984988162206645,0.6595889885744958,0.9179664988341292,106.6,5398.0,9.6,55.0
|
||||
lightgbm,robust_scaling,class_weight,gbdt,0.05,100,0.1,0.1,1.0,0.8,10,5,0.9881490283639266,0.8773612738208023,0.8439857872830707,0.8251884945794583,0.9531520736778006,0.9939237932284366,0.9964775898375432,0.9981877398682182,0.9896976606399429,0.7607987544131682,0.6914939847285985,0.6521892492906984,0.9166064867156585,105.4,5397.8,9.8,56.2
|
||||
lightgbm,robust_scaling,class_weight,gbdt,0.05,100,0.1,0.1,1.0,1.0,10,5,0.9885440723574623,0.8818376656161935,0.8484932809920889,0.8295987863978901,0.9563870139018948,0.9941259419245195,0.9966474214209219,0.9983356757019992,0.989952293650885,0.7695493893078675,0.7003391405632555,0.6608618970937811,0.9228217341529049,106.8,5398.6,9.0,54.8
|
||||
lightgbm,robust_scaling,class_weight,gbdt,0.1,100,0.1,0.1,0.8,0.8,10,5,0.9883285938155337,0.8803372521410633,0.8483294005616949,0.8300827847374833,0.9510320495410225,0.9940145120515872,0.996447807463824,0.9980767726035612,0.9899858638027087,0.7666599922305395,0.7002109936595659,0.6620887968714055,0.9120782352793364,107.0,5397.2,10.4,54.6
|
||||
lightgbm,robust_scaling,class_weight,gbdt,0.1,100,0.1,0.1,0.8,1.0,10,5,0.9882927065155824,0.8802666338750796,0.848686714225734,0.8306745954646935,0.9499968824015692,0.9939956863968662,0.9963959778495781,0.9980028217859163,0.9900215738616428,0.7665375813532929,0.7009774506018898,0.6633463691434706,0.9099721909414956,107.2,5396.8,10.8,54.4
|
||||
lightgbm,robust_scaling,class_weight,gbdt,0.1,100,0.1,0.1,1.0,0.8,10,5,0.9881131281687903,0.8773653063685363,0.8444343006699695,0.8257726235036618,0.9509773398803787,0.993905008386758,0.9964259022952799,0.9981137616917802,0.9897323184000513,0.7608256043503145,0.692442699044659,0.6534314853155433,0.912222361360706,105.6,5397.4,10.2,56.0
|
||||
lightgbm,robust_scaling,class_weight,gbdt,0.1,100,0.1,0.1,1.0,1.0,10,5,0.9884363395340905,0.882440120485289,0.8522584834609825,0.8349516085117996,0.9484559673647711,0.994068369700958,0.996358778502092,0.9978918682006558,0.990275419184807,0.77081187126962,0.7081581884198731,0.672011348822943,0.906636515544735,108.6,5396.2,11.4,53.0
|
||||
lightgbm,robust_scaling,class_weight,dart,0.03,100,0.1,0.1,0.8,0.8,10,5,0.9866407559415371,0.8546665330736074,0.8126730010096962,0.7901810145901905,0.9601930891408689,0.9931593366101316,0.9965016973084755,0.9987425214739167,0.9876385054740707,0.7161737295370834,0.6288443047109171,0.5816195077064642,0.9327476728076667,94.0,5400.8,6.8,67.6
|
||||
lightgbm,robust_scaling,class_weight,dart,0.03,100,0.1,0.1,0.8,1.0,10,5,0.9866766754794511,0.8562656039325315,0.8157208012971658,0.7938114193022212,0.9561674476952969,0.9931763205513544,0.996398065776716,0.9985575828725199,0.9878529875334605,0.7193548873137088,0.6350435368176157,0.5890652557319224,0.9244819078571332,95.2,5399.8,7.8,66.4
|
||||
lightgbm,robust_scaling,class_weight,dart,0.03,100,0.1,0.1,1.0,0.8,10,5,0.9866407623891297,0.85485183954347,0.813141177819694,0.7907836380585034,0.9596305506301259,0.9931590888887267,0.9964794763987621,0.9987055323856977,0.987674407032048,0.7165445901982129,0.6298028792406256,0.582861743731309,0.9315866942282037,94.2,5400.6,7.0,67.4
|
||||
lightgbm,robust_scaling,class_weight,dart,0.03,100,0.1,0.1,1.0,1.0,10,5,0.9863534576665582,0.8524410610175085,0.8118841017723559,0.7900407297807739,0.9532261113685625,0.99301114416589,0.9962652483534293,0.9984466156078632,0.9876349687544448,0.7118709778691268,0.6275029551912825,0.5816348439536845,0.9188172539826802,94.0,5399.2,8.4,67.6
|
||||
lightgbm,robust_scaling,class_weight,dart,0.05,100,0.1,0.1,0.8,0.8,10,5,0.9877899103558974,0.8714052781878057,0.8346059949858393,0.8141831514619706,0.9571870047441049,0.9937426436247268,0.9965817523575563,0.998483625215177,0.9890469774271224,0.7490679127508842,0.6726302376141222,0.6298826777087646,0.9253270320610874,101.8,5399.4,8.2,59.8
|
||||
lightgbm,robust_scaling,class_weight,dart,0.05,100,0.1,0.1,0.8,1.0,10,5,0.9876462966801668,0.8695998735920025,0.8319443725944122,0.8111190534751007,0.9578692720049287,0.9936694608377754,0.9965744560269526,0.9985206006239993,0.9888653579636955,0.7455302863462296,0.6673142891618721,0.623717506326202,0.9268731860461619,100.8,5399.6,8.0,60.8
|
||||
lightgbm,robust_scaling,class_weight,dart,0.05,100,0.1,0.1,1.0,0.8,10,5,0.9878258427889964,0.8724485327957294,0.8362139231422093,0.8160171913743273,0.9560749963834774,0.9937602594085198,0.99654465147448,0.9984096607181355,0.9891542684628938,0.7511368061829391,0.6758831948099385,0.6336247220305192,0.9229957243040608,102.4,5399.0,8.6,59.2
|
||||
lightgbm,robust_scaling,class_weight,dart,0.05,100,0.1,0.1,1.0,1.0,10,5,0.9877180906228471,0.8707001184419794,0.8339432909549597,0.8135435354855897,0.9563510563367066,0.9937057809174661,0.9965448162958349,0.9984466292872597,0.9890101945198115,0.7476944559664926,0.6713417656140843,0.62864044168392,0.9236919181536019,101.6,5399.2,8.4,60.0
|
||||
lightgbm,robust_scaling,class_weight,dart,0.1,100,0.1,0.1,0.8,0.8,10,5,0.9880053953454185,0.8763238649159562,0.8432651737595419,0.8245118929347075,0.949940086104115,0.9938497322377776,0.9963816132484633,0.9980767726035612,0.9896586369846668,0.7587979975941346,0.6901487342706207,0.6509470132658537,0.9102215352235625,105.2,5397.2,10.4,56.4
|
||||
lightgbm,robust_scaling,class_weight,dart,0.1,100,0.1,0.1,0.8,1.0,10,5,0.9884004328913616,0.8807095163898977,0.8476959631018479,0.8289145234692274,0.9537631067371821,0.9940518989065807,0.9965513767258839,0.9982247221167387,0.9899139737723412,0.7673671338732146,0.698840549477812,0.6596043248217162,0.917612239702023,106.6,5398.0,9.6,55.0
|
||||
lightgbm,robust_scaling,class_weight,dart,0.1,100,0.1,0.1,1.0,0.8,10,5,0.9881131410639752,0.8770252049462333,0.8431245146880986,0.8239762381848926,0.9532208817917696,0.9939054940732314,0.9964924688637533,0.9982246947579458,0.989623906634497,0.7601449158192348,0.6897565605124437,0.6497277816118396,0.9168178569490422,105.0,5398.0,9.6,56.6
|
||||
lightgbm,robust_scaling,class_weight,dart,0.1,100,0.1,0.1,1.0,1.0,10,5,0.9884363395340905,0.881485361825737,0.8491640485208054,0.8307370611961687,0.9527894102125524,0.9940697428524142,0.996514280814605,0.9981507576196973,0.9900224250352128,0.7689009807990599,0.7018138162270058,0.6633233647726401,0.915556395389892,107.2,5397.6,10.0,54.4
|
||||
lightgbm,minmax_scaling,KMeansSMOTE,gbdt,0.03,100,0.1,0.1,0.8,0.8,10,5,0.9881849543494331,0.8761798360649788,0.8399864981305395,0.8197871846117641,0.9595825668905483,0.9939443189230804,0.9967070868186572,0.9985575760328217,0.9893739563072899,0.758415353206877,0.6832659094424218,0.6410167931907063,0.929791177473807,103.6,5399.8,7.8,58.0
|
||||
lightgbm,minmax_scaling,KMeansSMOTE,gbdt,0.03,100,0.1,0.1,0.8,1.0,10,5,0.9880772279736538,0.8755597425778312,0.8401582264805038,0.8203381756087991,0.9566296325158377,0.9938884586503998,0.9965961802329308,0.998409653878437,0.9894085843953766,0.7572310265052625,0.6837202727280767,0.6422666973391611,0.9238506806362988,103.8,5399.0,8.6,57.8
|
||||
lightgbm,minmax_scaling,KMeansSMOTE,gbdt,0.03,100,0.1,0.1,1.0,0.8,10,5,0.9878258234462189,0.8722851406960276,0.8365212128466958,0.8166006445336148,0.9551809993319686,0.9937603623772743,0.996522506707841,0.9983726716299165,0.9891913946711819,0.7508099190147808,0.6765199189855505,0.6348286174373131,0.9211706039927551,102.6,5398.8,8.8,59.0
|
||||
lightgbm,minmax_scaling,KMeansSMOTE,gbdt,0.03,100,0.1,0.1,1.0,1.0,10,5,0.987610351351883,0.8706042298067944,0.8355293337102492,0.8158908981219974,0.9508365422039677,0.9936492739314107,0.9963673457020088,0.9981877467079163,0.9891522589395396,0.747559185682178,0.6746913217184896,0.6335940495360785,0.9125208254683959,102.4,5397.8,9.8,59.2
|
||||
lightgbm,minmax_scaling,KMeansSMOTE,gbdt,0.05,100,0.1,0.1,0.8,0.8,10,5,0.9881490477067041,0.8774577091759662,0.8440444543370151,0.8251923354809616,0.9529167191680059,0.9939237334882094,0.9964776210261871,0.9981877535476148,0.9896971452267926,0.760991684863723,0.6916112876478433,0.6521969174143087,0.9161362931092192,105.4,5397.8,9.8,56.2
|
||||
lightgbm,minmax_scaling,KMeansSMOTE,gbdt,0.05,100,0.1,0.1,0.8,1.0,10,5,0.9884004199961766,0.8803823678245559,0.8475251035980177,0.8289068553456174,0.9539409840039681,0.994052204957895,0.9965513909753712,0.9982247221167387,0.989915469173807,0.7667125306912166,0.6984988162206645,0.6595889885744958,0.9179664988341292,106.6,5398.0,9.6,55.0
|
||||
lightgbm,minmax_scaling,KMeansSMOTE,gbdt,0.05,100,0.1,0.1,1.0,0.8,10,5,0.9881490283639266,0.8773612738208023,0.8439857872830707,0.8251884945794583,0.9531520736778006,0.9939237932284366,0.9964775898375432,0.9981877398682182,0.9896976606399429,0.7607987544131682,0.6914939847285985,0.6521892492906984,0.9166064867156585,105.4,5397.8,9.8,56.2
|
||||
lightgbm,minmax_scaling,KMeansSMOTE,gbdt,0.05,100,0.1,0.1,1.0,1.0,10,5,0.9885440723574623,0.8818376656161935,0.8484932809920889,0.8295987863978901,0.9563870139018948,0.9941259419245195,0.9966474214209219,0.9983356757019992,0.989952293650885,0.7695493893078675,0.7003391405632555,0.6608618970937811,0.9228217341529049,106.8,5398.6,9.0,54.8
|
||||
lightgbm,minmax_scaling,KMeansSMOTE,gbdt,0.1,100,0.1,0.1,0.8,0.8,10,5,0.9883285938155337,0.8803372521410633,0.8483294005616949,0.8300827847374833,0.9510320495410225,0.9940145120515872,0.996447807463824,0.9980767726035612,0.9899858638027087,0.7666599922305395,0.7002109936595659,0.6620887968714055,0.9120782352793364,107.0,5397.2,10.4,54.6
|
||||
lightgbm,minmax_scaling,KMeansSMOTE,gbdt,0.1,100,0.1,0.1,0.8,1.0,10,5,0.9882927065155824,0.8802666338750796,0.848686714225734,0.8306745954646935,0.9499968824015692,0.9939956863968662,0.9963959778495781,0.9980028217859163,0.9900215738616428,0.7665375813532929,0.7009774506018898,0.6633463691434706,0.9099721909414956,107.2,5396.8,10.8,54.4
|
||||
lightgbm,minmax_scaling,KMeansSMOTE,gbdt,0.1,100,0.1,0.1,1.0,0.8,10,5,0.9881131281687903,0.8773653063685363,0.8444343006699695,0.8257726235036618,0.9509773398803787,0.993905008386758,0.9964259022952799,0.9981137616917802,0.9897323184000513,0.7608256043503145,0.692442699044659,0.6534314853155433,0.912222361360706,105.6,5397.4,10.2,56.0
|
||||
lightgbm,minmax_scaling,KMeansSMOTE,gbdt,0.1,100,0.1,0.1,1.0,1.0,10,5,0.9884363395340905,0.882440120485289,0.8522584834609825,0.8349516085117996,0.9484559673647711,0.994068369700958,0.996358778502092,0.9978918682006558,0.990275419184807,0.77081187126962,0.7081581884198731,0.672011348822943,0.906636515544735,108.6,5396.2,11.4,53.0
|
||||
lightgbm,minmax_scaling,KMeansSMOTE,dart,0.03,100,0.1,0.1,0.8,0.8,10,5,0.9866407559415371,0.8546665330736074,0.8126730010096962,0.7901810145901905,0.9601930891408689,0.9931593366101316,0.9965016973084755,0.9987425214739167,0.9876385054740707,0.7161737295370834,0.6288443047109171,0.5816195077064642,0.9327476728076667,94.0,5400.8,6.8,67.6
|
||||
lightgbm,minmax_scaling,KMeansSMOTE,dart,0.03,100,0.1,0.1,0.8,1.0,10,5,0.9866766754794511,0.8562656039325315,0.8157208012971658,0.7938114193022212,0.9561674476952969,0.9931763205513544,0.996398065776716,0.9985575828725199,0.9878529875334605,0.7193548873137088,0.6350435368176157,0.5890652557319224,0.9244819078571332,95.2,5399.8,7.8,66.4
|
||||
lightgbm,minmax_scaling,KMeansSMOTE,dart,0.03,100,0.1,0.1,1.0,0.8,10,5,0.9866407623891297,0.85485183954347,0.813141177819694,0.7907836380585034,0.9596305506301259,0.9931590888887267,0.9964794763987621,0.9987055323856977,0.987674407032048,0.7165445901982129,0.6298028792406256,0.582861743731309,0.9315866942282037,94.2,5400.6,7.0,67.4
|
||||
lightgbm,minmax_scaling,KMeansSMOTE,dart,0.03,100,0.1,0.1,1.0,1.0,10,5,0.9863534576665582,0.8524410610175085,0.8118841017723559,0.7900407297807739,0.9532261113685625,0.99301114416589,0.9962652483534293,0.9984466156078632,0.9876349687544448,0.7118709778691268,0.6275029551912825,0.5816348439536845,0.9188172539826802,94.0,5399.2,8.4,67.6
|
||||
lightgbm,minmax_scaling,KMeansSMOTE,dart,0.05,100,0.1,0.1,0.8,0.8,10,5,0.9877899103558974,0.8714052781878057,0.8346059949858393,0.8141831514619706,0.9571870047441049,0.9937426436247268,0.9965817523575563,0.998483625215177,0.9890469774271224,0.7490679127508842,0.6726302376141222,0.6298826777087646,0.9253270320610874,101.8,5399.4,8.2,59.8
|
||||
lightgbm,minmax_scaling,KMeansSMOTE,dart,0.05,100,0.1,0.1,0.8,1.0,10,5,0.9876462966801668,0.8695998735920025,0.8319443725944122,0.8111190534751007,0.9578692720049287,0.9936694608377754,0.9965744560269526,0.9985206006239993,0.9888653579636955,0.7455302863462296,0.6673142891618721,0.623717506326202,0.9268731860461619,100.8,5399.6,8.0,60.8
|
||||
lightgbm,minmax_scaling,KMeansSMOTE,dart,0.05,100,0.1,0.1,1.0,0.8,10,5,0.9878258427889964,0.8724485327957294,0.8362139231422093,0.8160171913743273,0.9560749963834774,0.9937602594085198,0.99654465147448,0.9984096607181355,0.9891542684628938,0.7511368061829391,0.6758831948099385,0.6336247220305192,0.9229957243040608,102.4,5399.0,8.6,59.2
|
||||
lightgbm,minmax_scaling,KMeansSMOTE,dart,0.05,100,0.1,0.1,1.0,1.0,10,5,0.9877180906228471,0.8707001184419794,0.8339432909549597,0.8135435354855897,0.9563510563367066,0.9937057809174661,0.9965448162958349,0.9984466292872597,0.9890101945198115,0.7476944559664926,0.6713417656140843,0.62864044168392,0.9236919181536019,101.6,5399.2,8.4,60.0
|
||||
lightgbm,minmax_scaling,KMeansSMOTE,dart,0.1,100,0.1,0.1,0.8,0.8,10,5,0.9880053953454185,0.8763238649159562,0.8432651737595419,0.8245118929347075,0.949940086104115,0.9938497322377776,0.9963816132484633,0.9980767726035612,0.9896586369846668,0.7587979975941346,0.6901487342706207,0.6509470132658537,0.9102215352235625,105.2,5397.2,10.4,56.4
|
||||
lightgbm,minmax_scaling,KMeansSMOTE,dart,0.1,100,0.1,0.1,0.8,1.0,10,5,0.9884004328913616,0.8807095163898977,0.8476959631018479,0.8289145234692274,0.9537631067371821,0.9940518989065807,0.9965513767258839,0.9982247221167387,0.9899139737723412,0.7673671338732146,0.698840549477812,0.6596043248217162,0.917612239702023,106.6,5398.0,9.6,55.0
|
||||
lightgbm,minmax_scaling,KMeansSMOTE,dart,0.1,100,0.1,0.1,1.0,0.8,10,5,0.9881131410639752,0.8770252049462333,0.8431245146880986,0.8239762381848926,0.9532208817917696,0.9939054940732314,0.9964924688637533,0.9982246947579458,0.989623906634497,0.7601449158192348,0.6897565605124437,0.6497277816118396,0.9168178569490422,105.0,5398.0,9.6,56.6
|
||||
lightgbm,minmax_scaling,KMeansSMOTE,dart,0.1,100,0.1,0.1,1.0,1.0,10,5,0.9884363395340905,0.881485361825737,0.8491640485208054,0.8307370611961687,0.9527894102125524,0.9940697428524142,0.996514280814605,0.9981507576196973,0.9900224250352128,0.7689009807990599,0.7018138162270058,0.6633233647726401,0.915556395389892,107.2,5397.6,10.0,54.4
|
||||
lightgbm,minmax_scaling,class_weight,gbdt,0.03,100,0.1,0.1,0.8,0.8,10,5,0.9881849543494331,0.8761798360649788,0.8399864981305395,0.8197871846117641,0.9595825668905483,0.9939443189230804,0.9967070868186572,0.9985575760328217,0.9893739563072899,0.758415353206877,0.6832659094424218,0.6410167931907063,0.929791177473807,103.6,5399.8,7.8,58.0
|
||||
lightgbm,minmax_scaling,class_weight,gbdt,0.03,100,0.1,0.1,0.8,1.0,10,5,0.9880772279736538,0.8755597425778312,0.8401582264805038,0.8203381756087991,0.9566296325158377,0.9938884586503998,0.9965961802329308,0.998409653878437,0.9894085843953766,0.7572310265052625,0.6837202727280767,0.6422666973391611,0.9238506806362988,103.8,5399.0,8.6,57.8
|
||||
lightgbm,minmax_scaling,class_weight,gbdt,0.03,100,0.1,0.1,1.0,0.8,10,5,0.9878258234462189,0.8722851406960276,0.8365212128466958,0.8166006445336148,0.9551809993319686,0.9937603623772743,0.996522506707841,0.9983726716299165,0.9891913946711819,0.7508099190147808,0.6765199189855505,0.6348286174373131,0.9211706039927551,102.6,5398.8,8.8,59.0
|
||||
lightgbm,minmax_scaling,class_weight,gbdt,0.03,100,0.1,0.1,1.0,1.0,10,5,0.987610351351883,0.8706042298067944,0.8355293337102492,0.8158908981219974,0.9508365422039677,0.9936492739314107,0.9963673457020088,0.9981877467079163,0.9891522589395396,0.747559185682178,0.6746913217184896,0.6335940495360785,0.9125208254683959,102.4,5397.8,9.8,59.2
|
||||
lightgbm,minmax_scaling,class_weight,gbdt,0.05,100,0.1,0.1,0.8,0.8,10,5,0.9881490477067041,0.8774577091759662,0.8440444543370151,0.8251923354809616,0.9529167191680059,0.9939237334882094,0.9964776210261871,0.9981877535476148,0.9896971452267926,0.760991684863723,0.6916112876478433,0.6521969174143087,0.9161362931092192,105.4,5397.8,9.8,56.2
|
||||
lightgbm,minmax_scaling,class_weight,gbdt,0.05,100,0.1,0.1,0.8,1.0,10,5,0.9884004199961766,0.8803823678245559,0.8475251035980177,0.8289068553456174,0.9539409840039681,0.994052204957895,0.9965513909753712,0.9982247221167387,0.989915469173807,0.7667125306912166,0.6984988162206645,0.6595889885744958,0.9179664988341292,106.6,5398.0,9.6,55.0
|
||||
lightgbm,minmax_scaling,class_weight,gbdt,0.05,100,0.1,0.1,1.0,0.8,10,5,0.9881490283639266,0.8773612738208023,0.8439857872830707,0.8251884945794583,0.9531520736778006,0.9939237932284366,0.9964775898375432,0.9981877398682182,0.9896976606399429,0.7607987544131682,0.6914939847285985,0.6521892492906984,0.9166064867156585,105.4,5397.8,9.8,56.2
|
||||
lightgbm,minmax_scaling,class_weight,gbdt,0.05,100,0.1,0.1,1.0,1.0,10,5,0.9885440723574623,0.8818376656161935,0.8484932809920889,0.8295987863978901,0.9563870139018948,0.9941259419245195,0.9966474214209219,0.9983356757019992,0.989952293650885,0.7695493893078675,0.7003391405632555,0.6608618970937811,0.9228217341529049,106.8,5398.6,9.0,54.8
|
||||
lightgbm,minmax_scaling,class_weight,gbdt,0.1,100,0.1,0.1,0.8,0.8,10,5,0.9883285938155337,0.8803372521410633,0.8483294005616949,0.8300827847374833,0.9510320495410225,0.9940145120515872,0.996447807463824,0.9980767726035612,0.9899858638027087,0.7666599922305395,0.7002109936595659,0.6620887968714055,0.9120782352793364,107.0,5397.2,10.4,54.6
|
||||
lightgbm,minmax_scaling,class_weight,gbdt,0.1,100,0.1,0.1,0.8,1.0,10,5,0.9882927065155824,0.8802666338750796,0.848686714225734,0.8306745954646935,0.9499968824015692,0.9939956863968662,0.9963959778495781,0.9980028217859163,0.9900215738616428,0.7665375813532929,0.7009774506018898,0.6633463691434706,0.9099721909414956,107.2,5396.8,10.8,54.4
|
||||
lightgbm,minmax_scaling,class_weight,gbdt,0.1,100,0.1,0.1,1.0,0.8,10,5,0.9881131281687903,0.8773653063685363,0.8444343006699695,0.8257726235036618,0.9509773398803787,0.993905008386758,0.9964259022952799,0.9981137616917802,0.9897323184000513,0.7608256043503145,0.692442699044659,0.6534314853155433,0.912222361360706,105.6,5397.4,10.2,56.0
|
||||
lightgbm,minmax_scaling,class_weight,gbdt,0.1,100,0.1,0.1,1.0,1.0,10,5,0.9884363395340905,0.882440120485289,0.8522584834609825,0.8349516085117996,0.9484559673647711,0.994068369700958,0.996358778502092,0.9978918682006558,0.990275419184807,0.77081187126962,0.7081581884198731,0.672011348822943,0.906636515544735,108.6,5396.2,11.4,53.0
|
||||
lightgbm,minmax_scaling,class_weight,dart,0.03,100,0.1,0.1,0.8,0.8,10,5,0.9866407559415371,0.8546665330736074,0.8126730010096962,0.7901810145901905,0.9601930891408689,0.9931593366101316,0.9965016973084755,0.9987425214739167,0.9876385054740707,0.7161737295370834,0.6288443047109171,0.5816195077064642,0.9327476728076667,94.0,5400.8,6.8,67.6
|
||||
lightgbm,minmax_scaling,class_weight,dart,0.03,100,0.1,0.1,0.8,1.0,10,5,0.9866766754794511,0.8562656039325315,0.8157208012971658,0.7938114193022212,0.9561674476952969,0.9931763205513544,0.996398065776716,0.9985575828725199,0.9878529875334605,0.7193548873137088,0.6350435368176157,0.5890652557319224,0.9244819078571332,95.2,5399.8,7.8,66.4
|
||||
lightgbm,minmax_scaling,class_weight,dart,0.03,100,0.1,0.1,1.0,0.8,10,5,0.9866407623891297,0.85485183954347,0.813141177819694,0.7907836380585034,0.9596305506301259,0.9931590888887267,0.9964794763987621,0.9987055323856977,0.987674407032048,0.7165445901982129,0.6298028792406256,0.582861743731309,0.9315866942282037,94.2,5400.6,7.0,67.4
|
||||
lightgbm,minmax_scaling,class_weight,dart,0.03,100,0.1,0.1,1.0,1.0,10,5,0.9863534576665582,0.8524410610175085,0.8118841017723559,0.7900407297807739,0.9532261113685625,0.99301114416589,0.9962652483534293,0.9984466156078632,0.9876349687544448,0.7118709778691268,0.6275029551912825,0.5816348439536845,0.9188172539826802,94.0,5399.2,8.4,67.6
|
||||
lightgbm,minmax_scaling,class_weight,dart,0.05,100,0.1,0.1,0.8,0.8,10,5,0.9877899103558974,0.8714052781878057,0.8346059949858393,0.8141831514619706,0.9571870047441049,0.9937426436247268,0.9965817523575563,0.998483625215177,0.9890469774271224,0.7490679127508842,0.6726302376141222,0.6298826777087646,0.9253270320610874,101.8,5399.4,8.2,59.8
|
||||
lightgbm,minmax_scaling,class_weight,dart,0.05,100,0.1,0.1,0.8,1.0,10,5,0.9876462966801668,0.8695998735920025,0.8319443725944122,0.8111190534751007,0.9578692720049287,0.9936694608377754,0.9965744560269526,0.9985206006239993,0.9888653579636955,0.7455302863462296,0.6673142891618721,0.623717506326202,0.9268731860461619,100.8,5399.6,8.0,60.8
|
||||
lightgbm,minmax_scaling,class_weight,dart,0.05,100,0.1,0.1,1.0,0.8,10,5,0.9878258427889964,0.8724485327957294,0.8362139231422093,0.8160171913743273,0.9560749963834774,0.9937602594085198,0.99654465147448,0.9984096607181355,0.9891542684628938,0.7511368061829391,0.6758831948099385,0.6336247220305192,0.9229957243040608,102.4,5399.0,8.6,59.2
|
||||
lightgbm,minmax_scaling,class_weight,dart,0.05,100,0.1,0.1,1.0,1.0,10,5,0.9877180906228471,0.8707001184419794,0.8339432909549597,0.8135435354855897,0.9563510563367066,0.9937057809174661,0.9965448162958349,0.9984466292872597,0.9890101945198115,0.7476944559664926,0.6713417656140843,0.62864044168392,0.9236919181536019,101.6,5399.2,8.4,60.0
|
||||
lightgbm,minmax_scaling,class_weight,dart,0.1,100,0.1,0.1,0.8,0.8,10,5,0.9880053953454185,0.8763238649159562,0.8432651737595419,0.8245118929347075,0.949940086104115,0.9938497322377776,0.9963816132484633,0.9980767726035612,0.9896586369846668,0.7587979975941346,0.6901487342706207,0.6509470132658537,0.9102215352235625,105.2,5397.2,10.4,56.4
|
||||
lightgbm,minmax_scaling,class_weight,dart,0.1,100,0.1,0.1,0.8,1.0,10,5,0.9884004328913616,0.8807095163898977,0.8476959631018479,0.8289145234692274,0.9537631067371821,0.9940518989065807,0.9965513767258839,0.9982247221167387,0.9899139737723412,0.7673671338732146,0.698840549477812,0.6596043248217162,0.917612239702023,106.6,5398.0,9.6,55.0
|
||||
lightgbm,minmax_scaling,class_weight,dart,0.1,100,0.1,0.1,1.0,0.8,10,5,0.9881131410639752,0.8770252049462333,0.8431245146880986,0.8239762381848926,0.9532208817917696,0.9939054940732314,0.9964924688637533,0.9982246947579458,0.989623906634497,0.7601449158192348,0.6897565605124437,0.6497277816118396,0.9168178569490422,105.0,5398.0,9.6,56.6
|
||||
lightgbm,minmax_scaling,class_weight,dart,0.1,100,0.1,0.1,1.0,1.0,10,5,0.9884363395340905,0.881485361825737,0.8491640485208054,0.8307370611961687,0.9527894102125524,0.9940697428524142,0.996514280814605,0.9981507576196973,0.9900224250352128,0.7689009807990599,0.7018138162270058,0.6633233647726401,0.915556395389892,107.2,5397.6,10.0,54.4
|
||||
lightgbm,yeo_johnson,KMeansSMOTE,gbdt,0.03,100,0.1,0.1,0.8,0.8,10,5,0.9881849543494331,0.8761798360649788,0.8399864981305395,0.8197871846117641,0.9595825668905483,0.9939443189230804,0.9967070868186572,0.9985575760328217,0.9893739563072899,0.758415353206877,0.6832659094424218,0.6410167931907063,0.929791177473807,103.6,5399.8,7.8,58.0
|
||||
lightgbm,yeo_johnson,KMeansSMOTE,gbdt,0.03,100,0.1,0.1,0.8,1.0,10,5,0.9880772279736538,0.8755597425778312,0.8401582264805038,0.8203381756087991,0.9566296325158377,0.9938884586503998,0.9965961802329308,0.998409653878437,0.9894085843953766,0.7572310265052625,0.6837202727280767,0.6422666973391611,0.9238506806362988,103.8,5399.0,8.6,57.8
|
||||
lightgbm,yeo_johnson,KMeansSMOTE,gbdt,0.03,100,0.1,0.1,1.0,0.8,10,5,0.9878258234462189,0.8722851406960276,0.8365212128466958,0.8166006445336148,0.9551809993319686,0.9937603623772743,0.996522506707841,0.9983726716299165,0.9891913946711819,0.7508099190147808,0.6765199189855505,0.6348286174373131,0.9211706039927551,102.6,5398.8,8.8,59.0
|
||||
lightgbm,yeo_johnson,KMeansSMOTE,gbdt,0.03,100,0.1,0.1,1.0,1.0,10,5,0.987610351351883,0.8706042298067944,0.8355293337102492,0.8158908981219974,0.9508365422039677,0.9936492739314107,0.9963673457020088,0.9981877467079163,0.9891522589395396,0.747559185682178,0.6746913217184896,0.6335940495360785,0.9125208254683959,102.4,5397.8,9.8,59.2
|
||||
lightgbm,yeo_johnson,KMeansSMOTE,gbdt,0.05,100,0.1,0.1,0.8,0.8,10,5,0.9881490477067041,0.8774577091759662,0.8440444543370151,0.8251923354809616,0.9529167191680059,0.9939237334882094,0.9964776210261871,0.9981877535476148,0.9896971452267926,0.760991684863723,0.6916112876478433,0.6521969174143087,0.9161362931092192,105.4,5397.8,9.8,56.2
|
||||
lightgbm,yeo_johnson,KMeansSMOTE,gbdt,0.05,100,0.1,0.1,0.8,1.0,10,5,0.9884004199961766,0.8803823678245559,0.8475251035980177,0.8289068553456174,0.9539409840039681,0.994052204957895,0.9965513909753712,0.9982247221167387,0.989915469173807,0.7667125306912166,0.6984988162206645,0.6595889885744958,0.9179664988341292,106.6,5398.0,9.6,55.0
|
||||
lightgbm,yeo_johnson,KMeansSMOTE,gbdt,0.05,100,0.1,0.1,1.0,0.8,10,5,0.9881490283639266,0.8773612738208023,0.8439857872830707,0.8251884945794583,0.9531520736778006,0.9939237932284366,0.9964775898375432,0.9981877398682182,0.9896976606399429,0.7607987544131682,0.6914939847285985,0.6521892492906984,0.9166064867156585,105.4,5397.8,9.8,56.2
|
||||
lightgbm,yeo_johnson,KMeansSMOTE,gbdt,0.05,100,0.1,0.1,1.0,1.0,10,5,0.9885440723574623,0.8818376656161935,0.8484932809920889,0.8295987863978901,0.9563870139018948,0.9941259419245195,0.9966474214209219,0.9983356757019992,0.989952293650885,0.7695493893078675,0.7003391405632555,0.6608618970937811,0.9228217341529049,106.8,5398.6,9.0,54.8
|
||||
lightgbm,yeo_johnson,KMeansSMOTE,gbdt,0.1,100,0.1,0.1,0.8,0.8,10,5,0.9883285938155337,0.8803372521410633,0.8483294005616949,0.8300827847374833,0.9510320495410225,0.9940145120515872,0.996447807463824,0.9980767726035612,0.9899858638027087,0.7666599922305395,0.7002109936595659,0.6620887968714055,0.9120782352793364,107.0,5397.2,10.4,54.6
|
||||
lightgbm,yeo_johnson,KMeansSMOTE,gbdt,0.1,100,0.1,0.1,0.8,1.0,10,5,0.9882927065155824,0.8802666338750796,0.848686714225734,0.8306745954646935,0.9499968824015692,0.9939956863968662,0.9963959778495781,0.9980028217859163,0.9900215738616428,0.7665375813532929,0.7009774506018898,0.6633463691434706,0.9099721909414956,107.2,5396.8,10.8,54.4
|
||||
lightgbm,yeo_johnson,KMeansSMOTE,gbdt,0.1,100,0.1,0.1,1.0,0.8,10,5,0.9881131281687903,0.8773653063685363,0.8444343006699695,0.8257726235036618,0.9509773398803787,0.993905008386758,0.9964259022952799,0.9981137616917802,0.9897323184000513,0.7608256043503145,0.692442699044659,0.6534314853155433,0.912222361360706,105.6,5397.4,10.2,56.0
|
||||
lightgbm,yeo_johnson,KMeansSMOTE,gbdt,0.1,100,0.1,0.1,1.0,1.0,10,5,0.9884363395340905,0.882440120485289,0.8522584834609825,0.8349516085117996,0.9484559673647711,0.994068369700958,0.996358778502092,0.9978918682006558,0.990275419184807,0.77081187126962,0.7081581884198731,0.672011348822943,0.906636515544735,108.6,5396.2,11.4,53.0
|
||||
lightgbm,yeo_johnson,KMeansSMOTE,dart,0.03,100,0.1,0.1,0.8,0.8,10,5,0.9866407559415371,0.8546665330736074,0.8126730010096962,0.7901810145901905,0.9601930891408689,0.9931593366101316,0.9965016973084755,0.9987425214739167,0.9876385054740707,0.7161737295370834,0.6288443047109171,0.5816195077064642,0.9327476728076667,94.0,5400.8,6.8,67.6
|
||||
lightgbm,yeo_johnson,KMeansSMOTE,dart,0.03,100,0.1,0.1,0.8,1.0,10,5,0.9866766754794511,0.8562656039325315,0.8157208012971658,0.7938114193022212,0.9561674476952969,0.9931763205513544,0.996398065776716,0.9985575828725199,0.9878529875334605,0.7193548873137088,0.6350435368176157,0.5890652557319224,0.9244819078571332,95.2,5399.8,7.8,66.4
|
||||
lightgbm,yeo_johnson,KMeansSMOTE,dart,0.03,100,0.1,0.1,1.0,0.8,10,5,0.9866407623891297,0.85485183954347,0.813141177819694,0.7907836380585034,0.9596305506301259,0.9931590888887267,0.9964794763987621,0.9987055323856977,0.987674407032048,0.7165445901982129,0.6298028792406256,0.582861743731309,0.9315866942282037,94.2,5400.6,7.0,67.4
|
||||
lightgbm,yeo_johnson,KMeansSMOTE,dart,0.03,100,0.1,0.1,1.0,1.0,10,5,0.9863534576665582,0.8524410610175085,0.8118841017723559,0.7900407297807739,0.9532261113685625,0.99301114416589,0.9962652483534293,0.9984466156078632,0.9876349687544448,0.7118709778691268,0.6275029551912825,0.5816348439536845,0.9188172539826802,94.0,5399.2,8.4,67.6
|
||||
lightgbm,yeo_johnson,KMeansSMOTE,dart,0.05,100,0.1,0.1,0.8,0.8,10,5,0.9877899103558974,0.8714052781878057,0.8346059949858393,0.8141831514619706,0.9571870047441049,0.9937426436247268,0.9965817523575563,0.998483625215177,0.9890469774271224,0.7490679127508842,0.6726302376141222,0.6298826777087646,0.9253270320610874,101.8,5399.4,8.2,59.8
|
||||
lightgbm,yeo_johnson,KMeansSMOTE,dart,0.05,100,0.1,0.1,0.8,1.0,10,5,0.9876462966801668,0.8695998735920025,0.8319443725944122,0.8111190534751007,0.9578692720049287,0.9936694608377754,0.9965744560269526,0.9985206006239993,0.9888653579636955,0.7455302863462296,0.6673142891618721,0.623717506326202,0.9268731860461619,100.8,5399.6,8.0,60.8
|
||||
lightgbm,yeo_johnson,KMeansSMOTE,dart,0.05,100,0.1,0.1,1.0,0.8,10,5,0.9878258427889964,0.8724485327957294,0.8362139231422093,0.8160171913743273,0.9560749963834774,0.9937602594085198,0.99654465147448,0.9984096607181355,0.9891542684628938,0.7511368061829391,0.6758831948099385,0.6336247220305192,0.9229957243040608,102.4,5399.0,8.6,59.2
|
||||
lightgbm,yeo_johnson,KMeansSMOTE,dart,0.05,100,0.1,0.1,1.0,1.0,10,5,0.9877180906228471,0.8707001184419794,0.8339432909549597,0.8135435354855897,0.9563510563367066,0.9937057809174661,0.9965448162958349,0.9984466292872597,0.9890101945198115,0.7476944559664926,0.6713417656140843,0.62864044168392,0.9236919181536019,101.6,5399.2,8.4,60.0
|
||||
lightgbm,yeo_johnson,KMeansSMOTE,dart,0.1,100,0.1,0.1,0.8,0.8,10,5,0.9880053953454185,0.8763238649159562,0.8432651737595419,0.8245118929347075,0.949940086104115,0.9938497322377776,0.9963816132484633,0.9980767726035612,0.9896586369846668,0.7587979975941346,0.6901487342706207,0.6509470132658537,0.9102215352235625,105.2,5397.2,10.4,56.4
|
||||
lightgbm,yeo_johnson,KMeansSMOTE,dart,0.1,100,0.1,0.1,0.8,1.0,10,5,0.9884004328913616,0.8807095163898977,0.8476959631018479,0.8289145234692274,0.9537631067371821,0.9940518989065807,0.9965513767258839,0.9982247221167387,0.9899139737723412,0.7673671338732146,0.698840549477812,0.6596043248217162,0.917612239702023,106.6,5398.0,9.6,55.0
|
||||
lightgbm,yeo_johnson,KMeansSMOTE,dart,0.1,100,0.1,0.1,1.0,0.8,10,5,0.9881131410639752,0.8770252049462333,0.8431245146880986,0.8239762381848926,0.9532208817917696,0.9939054940732314,0.9964924688637533,0.9982246947579458,0.989623906634497,0.7601449158192348,0.6897565605124437,0.6497277816118396,0.9168178569490422,105.0,5398.0,9.6,56.6
|
||||
lightgbm,yeo_johnson,KMeansSMOTE,dart,0.1,100,0.1,0.1,1.0,1.0,10,5,0.9884363395340905,0.881485361825737,0.8491640485208054,0.8307370611961687,0.9527894102125524,0.9940697428524142,0.996514280814605,0.9981507576196973,0.9900224250352128,0.7689009807990599,0.7018138162270058,0.6633233647726401,0.915556395389892,107.2,5397.6,10.0,54.4
|
||||
lightgbm,yeo_johnson,class_weight,gbdt,0.03,100,0.1,0.1,0.8,0.8,10,5,0.9881849543494331,0.8761798360649788,0.8399864981305395,0.8197871846117641,0.9595825668905483,0.9939443189230804,0.9967070868186572,0.9985575760328217,0.9893739563072899,0.758415353206877,0.6832659094424218,0.6410167931907063,0.929791177473807,103.6,5399.8,7.8,58.0
|
||||
lightgbm,yeo_johnson,class_weight,gbdt,0.03,100,0.1,0.1,0.8,1.0,10,5,0.9880772279736538,0.8755597425778312,0.8401582264805038,0.8203381756087991,0.9566296325158377,0.9938884586503998,0.9965961802329308,0.998409653878437,0.9894085843953766,0.7572310265052625,0.6837202727280767,0.6422666973391611,0.9238506806362988,103.8,5399.0,8.6,57.8
|
||||
lightgbm,yeo_johnson,class_weight,gbdt,0.03,100,0.1,0.1,1.0,0.8,10,5,0.9878258234462189,0.8722851406960276,0.8365212128466958,0.8166006445336148,0.9551809993319686,0.9937603623772743,0.996522506707841,0.9983726716299165,0.9891913946711819,0.7508099190147808,0.6765199189855505,0.6348286174373131,0.9211706039927551,102.6,5398.8,8.8,59.0
|
||||
lightgbm,yeo_johnson,class_weight,gbdt,0.03,100,0.1,0.1,1.0,1.0,10,5,0.987610351351883,0.8706042298067944,0.8355293337102492,0.8158908981219974,0.9508365422039677,0.9936492739314107,0.9963673457020088,0.9981877467079163,0.9891522589395396,0.747559185682178,0.6746913217184896,0.6335940495360785,0.9125208254683959,102.4,5397.8,9.8,59.2
|
||||
lightgbm,yeo_johnson,class_weight,gbdt,0.05,100,0.1,0.1,0.8,0.8,10,5,0.9881490477067041,0.8774577091759662,0.8440444543370151,0.8251923354809616,0.9529167191680059,0.9939237334882094,0.9964776210261871,0.9981877535476148,0.9896971452267926,0.760991684863723,0.6916112876478433,0.6521969174143087,0.9161362931092192,105.4,5397.8,9.8,56.2
|
||||
lightgbm,yeo_johnson,class_weight,gbdt,0.05,100,0.1,0.1,0.8,1.0,10,5,0.9884004199961766,0.8803823678245559,0.8475251035980177,0.8289068553456174,0.9539409840039681,0.994052204957895,0.9965513909753712,0.9982247221167387,0.989915469173807,0.7667125306912166,0.6984988162206645,0.6595889885744958,0.9179664988341292,106.6,5398.0,9.6,55.0
|
||||
lightgbm,yeo_johnson,class_weight,gbdt,0.05,100,0.1,0.1,1.0,0.8,10,5,0.9881490283639266,0.8773612738208023,0.8439857872830707,0.8251884945794583,0.9531520736778006,0.9939237932284366,0.9964775898375432,0.9981877398682182,0.9896976606399429,0.7607987544131682,0.6914939847285985,0.6521892492906984,0.9166064867156585,105.4,5397.8,9.8,56.2
|
||||
lightgbm,yeo_johnson,class_weight,gbdt,0.05,100,0.1,0.1,1.0,1.0,10,5,0.9885440723574623,0.8818376656161935,0.8484932809920889,0.8295987863978901,0.9563870139018948,0.9941259419245195,0.9966474214209219,0.9983356757019992,0.989952293650885,0.7695493893078675,0.7003391405632555,0.6608618970937811,0.9228217341529049,106.8,5398.6,9.0,54.8
|
||||
lightgbm,yeo_johnson,class_weight,gbdt,0.1,100,0.1,0.1,0.8,0.8,10,5,0.9883285938155337,0.8803372521410633,0.8483294005616949,0.8300827847374833,0.9510320495410225,0.9940145120515872,0.996447807463824,0.9980767726035612,0.9899858638027087,0.7666599922305395,0.7002109936595659,0.6620887968714055,0.9120782352793364,107.0,5397.2,10.4,54.6
|
||||
lightgbm,yeo_johnson,class_weight,gbdt,0.1,100,0.1,0.1,0.8,1.0,10,5,0.9882927065155824,0.8802666338750796,0.848686714225734,0.8306745954646935,0.9499968824015692,0.9939956863968662,0.9963959778495781,0.9980028217859163,0.9900215738616428,0.7665375813532929,0.7009774506018898,0.6633463691434706,0.9099721909414956,107.2,5396.8,10.8,54.4
|
||||
lightgbm,yeo_johnson,class_weight,gbdt,0.1,100,0.1,0.1,1.0,0.8,10,5,0.9881131281687903,0.8773653063685363,0.8444343006699695,0.8257726235036618,0.9509773398803787,0.993905008386758,0.9964259022952799,0.9981137616917802,0.9897323184000513,0.7608256043503145,0.692442699044659,0.6534314853155433,0.912222361360706,105.6,5397.4,10.2,56.0
|
||||
lightgbm,yeo_johnson,class_weight,gbdt,0.1,100,0.1,0.1,1.0,1.0,10,5,0.9884363395340905,0.882440120485289,0.8522584834609825,0.8349516085117996,0.9484559673647711,0.994068369700958,0.996358778502092,0.9978918682006558,0.990275419184807,0.77081187126962,0.7081581884198731,0.672011348822943,0.906636515544735,108.6,5396.2,11.4,53.0
|
||||
lightgbm,yeo_johnson,class_weight,dart,0.03,100,0.1,0.1,0.8,0.8,10,5,0.9866407559415371,0.8546665330736074,0.8126730010096962,0.7901810145901905,0.9601930891408689,0.9931593366101316,0.9965016973084755,0.9987425214739167,0.9876385054740707,0.7161737295370834,0.6288443047109171,0.5816195077064642,0.9327476728076667,94.0,5400.8,6.8,67.6
|
||||
lightgbm,yeo_johnson,class_weight,dart,0.03,100,0.1,0.1,0.8,1.0,10,5,0.9866766754794511,0.8562656039325315,0.8157208012971658,0.7938114193022212,0.9561674476952969,0.9931763205513544,0.996398065776716,0.9985575828725199,0.9878529875334605,0.7193548873137088,0.6350435368176157,0.5890652557319224,0.9244819078571332,95.2,5399.8,7.8,66.4
|
||||
lightgbm,yeo_johnson,class_weight,dart,0.03,100,0.1,0.1,1.0,0.8,10,5,0.9866407623891297,0.85485183954347,0.813141177819694,0.7907836380585034,0.9596305506301259,0.9931590888887267,0.9964794763987621,0.9987055323856977,0.987674407032048,0.7165445901982129,0.6298028792406256,0.582861743731309,0.9315866942282037,94.2,5400.6,7.0,67.4
|
||||
lightgbm,yeo_johnson,class_weight,dart,0.03,100,0.1,0.1,1.0,1.0,10,5,0.9863534576665582,0.8524410610175085,0.8118841017723559,0.7900407297807739,0.9532261113685625,0.99301114416589,0.9962652483534293,0.9984466156078632,0.9876349687544448,0.7118709778691268,0.6275029551912825,0.5816348439536845,0.9188172539826802,94.0,5399.2,8.4,67.6
|
||||
lightgbm,yeo_johnson,class_weight,dart,0.05,100,0.1,0.1,0.8,0.8,10,5,0.9877899103558974,0.8714052781878057,0.8346059949858393,0.8141831514619706,0.9571870047441049,0.9937426436247268,0.9965817523575563,0.998483625215177,0.9890469774271224,0.7490679127508842,0.6726302376141222,0.6298826777087646,0.9253270320610874,101.8,5399.4,8.2,59.8
|
||||
lightgbm,yeo_johnson,class_weight,dart,0.05,100,0.1,0.1,0.8,1.0,10,5,0.9876462966801668,0.8695998735920025,0.8319443725944122,0.8111190534751007,0.9578692720049287,0.9936694608377754,0.9965744560269526,0.9985206006239993,0.9888653579636955,0.7455302863462296,0.6673142891618721,0.623717506326202,0.9268731860461619,100.8,5399.6,8.0,60.8
|
||||
lightgbm,yeo_johnson,class_weight,dart,0.05,100,0.1,0.1,1.0,0.8,10,5,0.9878258427889964,0.8724485327957294,0.8362139231422093,0.8160171913743273,0.9560749963834774,0.9937602594085198,0.99654465147448,0.9984096607181355,0.9891542684628938,0.7511368061829391,0.6758831948099385,0.6336247220305192,0.9229957243040608,102.4,5399.0,8.6,59.2
|
||||
lightgbm,yeo_johnson,class_weight,dart,0.05,100,0.1,0.1,1.0,1.0,10,5,0.9877180906228471,0.8707001184419794,0.8339432909549597,0.8135435354855897,0.9563510563367066,0.9937057809174661,0.9965448162958349,0.9984466292872597,0.9890101945198115,0.7476944559664926,0.6713417656140843,0.62864044168392,0.9236919181536019,101.6,5399.2,8.4,60.0
|
||||
lightgbm,yeo_johnson,class_weight,dart,0.1,100,0.1,0.1,0.8,0.8,10,5,0.9880053953454185,0.8763238649159562,0.8432651737595419,0.8245118929347075,0.949940086104115,0.9938497322377776,0.9963816132484633,0.9980767726035612,0.9896586369846668,0.7587979975941346,0.6901487342706207,0.6509470132658537,0.9102215352235625,105.2,5397.2,10.4,56.4
|
||||
lightgbm,yeo_johnson,class_weight,dart,0.1,100,0.1,0.1,0.8,1.0,10,5,0.9884004328913616,0.8807095163898977,0.8476959631018479,0.8289145234692274,0.9537631067371821,0.9940518989065807,0.9965513767258839,0.9982247221167387,0.9899139737723412,0.7673671338732146,0.698840549477812,0.6596043248217162,0.917612239702023,106.6,5398.0,9.6,55.0
|
||||
lightgbm,yeo_johnson,class_weight,dart,0.1,100,0.1,0.1,1.0,0.8,10,5,0.9881131410639752,0.8770252049462333,0.8431245146880986,0.8239762381848926,0.9532208817917696,0.9939054940732314,0.9964924688637533,0.9982246947579458,0.989623906634497,0.7601449158192348,0.6897565605124437,0.6497277816118396,0.9168178569490422,105.0,5398.0,9.6,56.6
|
||||
lightgbm,yeo_johnson,class_weight,dart,0.1,100,0.1,0.1,1.0,1.0,10,5,0.9884363395340905,0.881485361825737,0.8491640485208054,0.8307370611961687,0.9527894102125524,0.9940697428524142,0.996514280814605,0.9981507576196973,0.9900224250352128,0.7689009807990599,0.7018138162270058,0.6633233647726401,0.915556395389892,107.2,5397.6,10.0,54.4
|
||||
|
207
main.R
Normal file
207
main.R
Normal file
@@ -0,0 +1,207 @@
|
||||
#install.packages("lightgbm", repos = "https://cran.r-project.org")
|
||||
#install.packages("MLmetrics")
|
||||
|
||||
library(lightgbm)
|
||||
library(MLmetrics)
|
||||
|
||||
df <- read.csv("./data/Ketamine_icp.csv")
|
||||
|
||||
target_name <- "label"
|
||||
target_index <- which(names(df) == target_name)
|
||||
|
||||
if (is.factor(df[, target_index])) {
|
||||
y <- as.numeric(df[, target_index]) - 1
|
||||
} else {
|
||||
y <- df[, target_index]
|
||||
}
|
||||
|
||||
# Create the data matrix for features
|
||||
X <- as.matrix(df[, -target_index])
|
||||
|
||||
set.seed(42)
|
||||
train_index <- sample(nrow(X), size = 0.8 * nrow(X))
|
||||
|
||||
X_train <- X[train_index, ]
|
||||
X_test <- X[-train_index, ]
|
||||
y_train <- y[train_index]
|
||||
y_test <- y[-train_index]
|
||||
|
||||
lgb_train_full <- lgb.Dataset(data = X_train, label = y_train)
|
||||
|
||||
params <- list(
|
||||
objective = "binary",
|
||||
metric = "binary_logloss",
|
||||
boosting_type = "gbdt",
|
||||
num_leaves = 20,
|
||||
learning_rate = 0.05,
|
||||
feature_fraction = 0.8
|
||||
)
|
||||
|
||||
bst_full <- lgb.train(
|
||||
params = params,
|
||||
data = lgb_train_full,
|
||||
nrounds = 100,
|
||||
verbose = -1
|
||||
)
|
||||
|
||||
# Get feature importance
|
||||
importance <- lgb.importance(bst_full)
|
||||
num_features <- nrow(importance)
|
||||
|
||||
# Create a data frame to store results
|
||||
results_df <- data.frame(
|
||||
Num_Features = integer(),
|
||||
Features = character(),
|
||||
Accuracy = numeric(),
|
||||
F1_class1 = numeric(),
|
||||
F2_class1 = numeric(),
|
||||
Precision_class1 = numeric(),
|
||||
Recall_class1 = numeric()
|
||||
)
|
||||
|
||||
cat("Training models with different numbers of top features...\n")
|
||||
|
||||
for (i in 1:num_features) {
|
||||
cat(paste("Training model with top", i, "features...\n"))
|
||||
|
||||
# Select top i features
|
||||
top_features <- importance$Feature[1:i]
|
||||
|
||||
# Subset training and test data
|
||||
X_train_sub <- X_train[, top_features, drop = FALSE]
|
||||
X_test_sub <- X_test[, top_features, drop = FALSE]
|
||||
|
||||
# Create LightGBM dataset
|
||||
lgb_train_sub <- lgb.Dataset(data = X_train_sub, label = y_train)
|
||||
|
||||
# Train model with subset of features
|
||||
bst_sub <- lgb.train(
|
||||
params = params,
|
||||
data = lgb_train_sub,
|
||||
nrounds = 100,
|
||||
verbose = -1
|
||||
)
|
||||
|
||||
# Make predictions
|
||||
pred_prob_sub <- predict(bst_sub, X_test_sub)
|
||||
pred_class_sub <- as.numeric(pred_prob_sub > 0.5)
|
||||
|
||||
# Calculate metrics
|
||||
accuracy <- mean(pred_class_sub == y_test)
|
||||
|
||||
# For binary classification
|
||||
if (length(unique(y_test)) == 2) {
|
||||
# F1 score for class 1
|
||||
f1 <- F1_Score(y_true = y_test, y_pred = pred_class_sub, positive = 1)
|
||||
|
||||
# Precision and Recall for class 1
|
||||
precision <- Precision(y_true = y_test, y_pred = pred_class_sub, positive = 1)
|
||||
recall <- Recall(y_true = y_test, y_pred = pred_class_sub, positive = 1)
|
||||
|
||||
# F2-score (beta = 2)
|
||||
beta <- 2
|
||||
f2 <- (1 + beta^2) * (precision * recall) / (beta^2 * precision + recall)
|
||||
|
||||
# Handle cases where precision or recall might be NaN
|
||||
if (is.na(f2)) {
|
||||
f2 <- 0
|
||||
}
|
||||
} else {
|
||||
# For multi-class classification
|
||||
f1 <- NA
|
||||
precision <- NA
|
||||
recall <- NA
|
||||
f2 <- NA
|
||||
}
|
||||
|
||||
# Store results
|
||||
results_df <- rbind(results_df, data.frame(
|
||||
Num_Features = i,
|
||||
Features = paste(top_features, collapse = ", "),
|
||||
Accuracy = round(accuracy, 4),
|
||||
F1_class1 = round(f1, 4),
|
||||
F2_class1 = round(f2, 4),
|
||||
Precision_class1 = round(precision, 4),
|
||||
Recall_class1 = round(recall, 4)
|
||||
))
|
||||
|
||||
# Print progress
|
||||
cat(paste(" Accuracy:", round(accuracy, 4),
|
||||
"| F1:", round(f1, 4),
|
||||
"| F2:", round(f2, 4),
|
||||
"| Precision:", round(precision, 4),
|
||||
"| Recall:", round(recall, 4), "\n"))
|
||||
}
|
||||
|
||||
|
||||
cat("Summary of Results:\n")
|
||||
print(results_df)
|
||||
|
||||
# Find best performing models based on different metrics
|
||||
cat("\nBest Performing Models:\n")
|
||||
|
||||
# Best by F1 score
|
||||
if (!all(is.na(results_df$F1_class1))) {
|
||||
best_f1_idx <- which.max(results_df$F1_class1)
|
||||
cat(paste("Best F1-score (", results_df$F1_class1[best_f1_idx],
|
||||
") with", results_df$Num_Features[best_f1_idx], "features\n"))
|
||||
}
|
||||
|
||||
# Best by F2 score
|
||||
if (!all(is.na(results_df$F2_class1))) {
|
||||
best_f2_idx <- which.max(results_df$F2_class1)
|
||||
cat(paste("Best F2-score (", results_df$F2_class1[best_f2_idx],
|
||||
") with", results_df$Num_Features[best_f2_idx], "features\n"))
|
||||
}
|
||||
|
||||
# Best by Accuracy
|
||||
best_acc_idx <- which.max(results_df$Accuracy)
|
||||
cat(paste("Best Accuracy (", results_df$Accuracy[best_acc_idx],
|
||||
") with", results_df$Num_Features[best_acc_idx], "features\n"))
|
||||
|
||||
if (require(ggplot2)) {
|
||||
library(ggplot2)
|
||||
|
||||
# Plot F1 and F2 scores
|
||||
p1 <- ggplot(results_df, aes(x = Num_Features)) +
|
||||
geom_line(aes(y = F1_class1, color = "F1 Score"), size = 1) +
|
||||
geom_line(aes(y = F2_class1, color = "F2 Score"), size = 1) +
|
||||
geom_point(aes(y = F1_class1, color = "F1 Score"), size = 2) +
|
||||
geom_point(aes(y = F2_class1, color = "F2 Score"), size = 2) +
|
||||
labs(title = "F1 and F2 Scores vs Number of Features",
|
||||
x = "Number of Top Features",
|
||||
y = "Score Value") +
|
||||
theme_minimal() +
|
||||
scale_color_manual(values = c("F1 Score" = "blue", "F2 Score" = "red"))
|
||||
|
||||
# Plot Accuracy
|
||||
p2 <- ggplot(results_df, aes(x = Num_Features, y = Accuracy)) +
|
||||
geom_line(color = "darkgreen", size = 1) +
|
||||
geom_point(color = "darkgreen", size = 2) +
|
||||
labs(title = "Accuracy vs Number of Features",
|
||||
x = "Number of Top Features",
|
||||
y = "Accuracy") +
|
||||
theme_minimal()
|
||||
|
||||
# Plot Precision and Recall
|
||||
p3 <- ggplot(results_df, aes(x = Num_Features)) +
|
||||
geom_line(aes(y = Precision_class1, color = "Precision"), size = 1) +
|
||||
geom_line(aes(y = Recall_class1, color = "Recall"), size = 1) +
|
||||
geom_point(aes(y = Precision_class1, color = "Precision"), size = 2) +
|
||||
geom_point(aes(y = Recall_class1, color = "Recall"), size = 2) +
|
||||
labs(title = "Precision and Recall (Class 1) vs Number of Features",
|
||||
x = "Number of Top Features",
|
||||
y = "Score Value") +
|
||||
theme_minimal() +
|
||||
scale_color_manual(values = c("Precision" = "purple", "Recall" = "orange"))
|
||||
|
||||
# Display plots
|
||||
print(p1)
|
||||
print(p2)
|
||||
print(p3)
|
||||
}
|
||||
|
||||
write.csv(results_df, "feature_selection_results.csv", row.names = FALSE)
|
||||
cat("\nResults saved to 'feature_selection_results.csv'\n")
|
||||
|
||||
lgb.plot.importance(importance, top_n = min(20, num_features))
|
||||
0
models/__init__.py
Normal file
0
models/__init__.py
Normal file
BIN
models/__pycache__/__init__.cpython-312.pyc
Normal file
BIN
models/__pycache__/__init__.cpython-312.pyc
Normal file
Binary file not shown.
BIN
models/__pycache__/catboost.cpython-312.pyc
Normal file
BIN
models/__pycache__/catboost.cpython-312.pyc
Normal file
Binary file not shown.
BIN
models/__pycache__/catboost_model.cpython-312.pyc
Normal file
BIN
models/__pycache__/catboost_model.cpython-312.pyc
Normal file
Binary file not shown.
BIN
models/__pycache__/lightgbm_model.cpython-312.pyc
Normal file
BIN
models/__pycache__/lightgbm_model.cpython-312.pyc
Normal file
Binary file not shown.
BIN
models/__pycache__/model_utils.cpython-312.pyc
Normal file
BIN
models/__pycache__/model_utils.cpython-312.pyc
Normal file
Binary file not shown.
104
models/catboost_info/catboost_training.json
Normal file
104
models/catboost_info/catboost_training.json
Normal file
@@ -0,0 +1,104 @@
|
||||
{
|
||||
"meta":{"test_sets":[],"test_metrics":[],"learn_metrics":[{"best_value":"Min","name":"Logloss"}],"launch_mode":"Train","parameters":"","iteration_count":100,"learn_sets":["learn"],"name":"experiment"},
|
||||
"iterations":[
|
||||
{"learn":[0.5362182115],"iteration":0,"passed_time":0.03726583153,"remaining_time":3.689317322},
|
||||
{"learn":[0.4350061839],"iteration":1,"passed_time":0.07086813867,"remaining_time":3.472538795},
|
||||
{"learn":[0.3627836859],"iteration":2,"passed_time":0.1068287532,"remaining_time":3.454129686},
|
||||
{"learn":[0.3133898847],"iteration":3,"passed_time":0.1466052264,"remaining_time":3.518525434},
|
||||
{"learn":[0.2751595914],"iteration":4,"passed_time":0.2139363415,"remaining_time":4.064790489},
|
||||
{"learn":[0.2397233684],"iteration":5,"passed_time":0.2437242066,"remaining_time":3.818345903},
|
||||
{"learn":[0.2113156522],"iteration":6,"passed_time":0.2720900622,"remaining_time":3.614910826},
|
||||
{"learn":[0.1953507088],"iteration":7,"passed_time":0.300843712,"remaining_time":3.459702688},
|
||||
{"learn":[0.1840143441],"iteration":8,"passed_time":0.333722431,"remaining_time":3.37430458},
|
||||
{"learn":[0.1706949477],"iteration":9,"passed_time":0.3637706728,"remaining_time":3.273936055},
|
||||
{"learn":[0.1620772533],"iteration":10,"passed_time":0.3917433591,"remaining_time":3.169559906},
|
||||
{"learn":[0.1545441635],"iteration":11,"passed_time":0.4228285662,"remaining_time":3.100742818},
|
||||
{"learn":[0.1465173236],"iteration":12,"passed_time":0.4525447641,"remaining_time":3.028568806},
|
||||
{"learn":[0.1415301698],"iteration":13,"passed_time":0.481356581,"remaining_time":2.956904712},
|
||||
{"learn":[0.1355367956],"iteration":14,"passed_time":0.5111667378,"remaining_time":2.896611514},
|
||||
{"learn":[0.1308604636],"iteration":15,"passed_time":0.5407104346,"remaining_time":2.838729782},
|
||||
{"learn":[0.1258709194],"iteration":16,"passed_time":0.5709041774,"remaining_time":2.78735569},
|
||||
{"learn":[0.121327471],"iteration":17,"passed_time":0.6022115109,"remaining_time":2.743407994},
|
||||
{"learn":[0.1173725037],"iteration":18,"passed_time":0.6314916226,"remaining_time":2.692148496},
|
||||
{"learn":[0.1136409199],"iteration":19,"passed_time":0.6631694586,"remaining_time":2.652677834},
|
||||
{"learn":[0.1097959508],"iteration":20,"passed_time":0.6925859878,"remaining_time":2.605442526},
|
||||
{"learn":[0.1067253666],"iteration":21,"passed_time":0.7228842729,"remaining_time":2.562953331},
|
||||
{"learn":[0.1024064669],"iteration":22,"passed_time":0.7556806997,"remaining_time":2.52988756},
|
||||
{"learn":[0.09901992217],"iteration":23,"passed_time":0.7853879392,"remaining_time":2.487061808},
|
||||
{"learn":[0.09567527484],"iteration":24,"passed_time":0.8162702699,"remaining_time":2.44881081},
|
||||
{"learn":[0.09377244268],"iteration":25,"passed_time":0.8459367175,"remaining_time":2.407666042},
|
||||
{"learn":[0.09156823556],"iteration":26,"passed_time":0.8743489067,"remaining_time":2.363980377},
|
||||
{"learn":[0.08858936107],"iteration":27,"passed_time":0.9048440682,"remaining_time":2.32674189},
|
||||
{"learn":[0.08620594774],"iteration":28,"passed_time":0.9386415433,"remaining_time":2.298053434},
|
||||
{"learn":[0.08449640594],"iteration":29,"passed_time":0.970384588,"remaining_time":2.264230705},
|
||||
{"learn":[0.08268042091],"iteration":30,"passed_time":1.000486164,"remaining_time":2.226888557},
|
||||
{"learn":[0.08113275342],"iteration":31,"passed_time":1.02716255,"remaining_time":2.182720418},
|
||||
{"learn":[0.07948416585],"iteration":32,"passed_time":1.05580499,"remaining_time":2.143604071},
|
||||
{"learn":[0.07752156705],"iteration":33,"passed_time":1.083618967,"remaining_time":2.103495642},
|
||||
{"learn":[0.0758993004],"iteration":34,"passed_time":1.110776731,"remaining_time":2.062871073},
|
||||
{"learn":[0.07462952526],"iteration":35,"passed_time":1.140266678,"remaining_time":2.027140761},
|
||||
{"learn":[0.07326399537],"iteration":36,"passed_time":1.171327343,"remaining_time":1.994422233},
|
||||
{"learn":[0.07204226808],"iteration":37,"passed_time":1.202572468,"remaining_time":1.962091921},
|
||||
{"learn":[0.0709181573],"iteration":38,"passed_time":1.236058399,"remaining_time":1.933322111},
|
||||
{"learn":[0.0697872959],"iteration":39,"passed_time":1.272619018,"remaining_time":1.908928526},
|
||||
{"learn":[0.06887255051],"iteration":40,"passed_time":1.30530461,"remaining_time":1.878365171},
|
||||
{"learn":[0.06779376451],"iteration":41,"passed_time":1.340183551,"remaining_time":1.850729666},
|
||||
{"learn":[0.06655209373],"iteration":42,"passed_time":1.367058647,"remaining_time":1.812147508},
|
||||
{"learn":[0.06472935248],"iteration":43,"passed_time":1.396430592,"remaining_time":1.777275299},
|
||||
{"learn":[0.06358214688],"iteration":44,"passed_time":1.425242034,"remaining_time":1.741962486},
|
||||
{"learn":[0.06235626673],"iteration":45,"passed_time":1.454791356,"remaining_time":1.707798548},
|
||||
{"learn":[0.06135828091],"iteration":46,"passed_time":1.484692347,"remaining_time":1.67422754},
|
||||
{"learn":[0.06030088326],"iteration":47,"passed_time":1.517340106,"remaining_time":1.643785115},
|
||||
{"learn":[0.0594838545],"iteration":48,"passed_time":1.547382723,"remaining_time":1.610541201},
|
||||
{"learn":[0.05857401953],"iteration":49,"passed_time":1.575035615,"remaining_time":1.575035615},
|
||||
{"learn":[0.05779726387],"iteration":50,"passed_time":1.605717361,"remaining_time":1.542748053},
|
||||
{"learn":[0.05705401197],"iteration":51,"passed_time":1.637109529,"remaining_time":1.511178026},
|
||||
{"learn":[0.0563860381],"iteration":52,"passed_time":1.66864603,"remaining_time":1.479742706},
|
||||
{"learn":[0.05578116129],"iteration":53,"passed_time":1.698994107,"remaining_time":1.447291277},
|
||||
{"learn":[0.05501245032],"iteration":54,"passed_time":1.73072736,"remaining_time":1.416049659},
|
||||
{"learn":[0.05448421539],"iteration":55,"passed_time":1.760980687,"remaining_time":1.383627683},
|
||||
{"learn":[0.05396827749],"iteration":56,"passed_time":1.790463092,"remaining_time":1.350700227},
|
||||
{"learn":[0.05365568996],"iteration":57,"passed_time":1.816922643,"remaining_time":1.315702603},
|
||||
{"learn":[0.05285317024],"iteration":58,"passed_time":1.843453445,"remaining_time":1.281043919},
|
||||
{"learn":[0.05220569231],"iteration":59,"passed_time":1.873312143,"remaining_time":1.248874762},
|
||||
{"learn":[0.05189669425],"iteration":60,"passed_time":1.900015321,"remaining_time":1.214763894},
|
||||
{"learn":[0.05100777067],"iteration":61,"passed_time":1.929198807,"remaining_time":1.182412172},
|
||||
{"learn":[0.05061405067],"iteration":62,"passed_time":1.958280793,"remaining_time":1.150101418},
|
||||
{"learn":[0.0500145832],"iteration":63,"passed_time":1.988503161,"remaining_time":1.118533028},
|
||||
{"learn":[0.04913773926],"iteration":64,"passed_time":2.019798494,"remaining_time":1.087583805},
|
||||
{"learn":[0.04856317666],"iteration":65,"passed_time":2.049876986,"remaining_time":1.055997235},
|
||||
{"learn":[0.04793897559],"iteration":66,"passed_time":2.076328829,"remaining_time":1.022669423},
|
||||
{"learn":[0.04735074265],"iteration":67,"passed_time":2.104181889,"remaining_time":0.9902032421},
|
||||
{"learn":[0.04681185043],"iteration":68,"passed_time":2.131537155,"remaining_time":0.9576471276},
|
||||
{"learn":[0.04639291477],"iteration":69,"passed_time":2.160451598,"remaining_time":0.9259078275},
|
||||
{"learn":[0.04587299669],"iteration":70,"passed_time":2.189360165,"remaining_time":0.8942457012},
|
||||
{"learn":[0.04538571251],"iteration":71,"passed_time":2.218450192,"remaining_time":0.8627306303},
|
||||
{"learn":[0.04524987562],"iteration":72,"passed_time":2.247329509,"remaining_time":0.8312040652},
|
||||
{"learn":[0.04504062268],"iteration":73,"passed_time":2.279532391,"remaining_time":0.8009167859},
|
||||
{"learn":[0.04475003947],"iteration":74,"passed_time":2.309344631,"remaining_time":0.7697815436},
|
||||
{"learn":[0.04418860638],"iteration":75,"passed_time":2.338459158,"remaining_time":0.7384607868},
|
||||
{"learn":[0.04384235707],"iteration":76,"passed_time":2.36499171,"remaining_time":0.7064260951},
|
||||
{"learn":[0.04345384668],"iteration":77,"passed_time":2.394550573,"remaining_time":0.6753860592},
|
||||
{"learn":[0.0429983499],"iteration":78,"passed_time":2.424591565,"remaining_time":0.6445116819},
|
||||
{"learn":[0.04232998964],"iteration":79,"passed_time":2.45486285,"remaining_time":0.6137157125},
|
||||
{"learn":[0.04149603099],"iteration":80,"passed_time":2.48391096,"remaining_time":0.5826457808},
|
||||
{"learn":[0.04131352094],"iteration":81,"passed_time":2.511031849,"remaining_time":0.5512021132},
|
||||
{"learn":[0.04087094967],"iteration":82,"passed_time":2.541060674,"remaining_time":0.5204582104},
|
||||
{"learn":[0.0407229616],"iteration":83,"passed_time":2.570044742,"remaining_time":0.4895323318},
|
||||
{"learn":[0.04048230194],"iteration":84,"passed_time":2.598669475,"remaining_time":0.4585887308},
|
||||
{"learn":[0.04019292818],"iteration":85,"passed_time":2.628585965,"remaining_time":0.4279093432},
|
||||
{"learn":[0.03999431065],"iteration":86,"passed_time":2.654588139,"remaining_time":0.3966625954},
|
||||
{"learn":[0.03963063313],"iteration":87,"passed_time":2.681123899,"remaining_time":0.3656078044},
|
||||
{"learn":[0.03950575155],"iteration":88,"passed_time":2.712638942,"remaining_time":0.3352699816},
|
||||
{"learn":[0.03937511809],"iteration":89,"passed_time":2.739148702,"remaining_time":0.3043498558},
|
||||
{"learn":[0.03902639674],"iteration":90,"passed_time":2.772977552,"remaining_time":0.2742505271},
|
||||
{"learn":[0.0386153965],"iteration":91,"passed_time":2.801728869,"remaining_time":0.2436285973},
|
||||
{"learn":[0.03849577538],"iteration":92,"passed_time":2.828780174,"remaining_time":0.2129189378},
|
||||
{"learn":[0.03828038492],"iteration":93,"passed_time":2.863007902,"remaining_time":0.1827451852},
|
||||
{"learn":[0.037581457],"iteration":94,"passed_time":2.918200186,"remaining_time":0.1535894835},
|
||||
{"learn":[0.03730521765],"iteration":95,"passed_time":2.962603315,"remaining_time":0.1234418048},
|
||||
{"learn":[0.03698274753],"iteration":96,"passed_time":2.993186477,"remaining_time":0.09257277764},
|
||||
{"learn":[0.03692042628],"iteration":97,"passed_time":3.018586355,"remaining_time":0.06160380316},
|
||||
{"learn":[0.03669428709],"iteration":98,"passed_time":3.046642166,"remaining_time":0.0307741633},
|
||||
{"learn":[0.03630353367],"iteration":99,"passed_time":3.077618039,"remaining_time":0}
|
||||
]}
|
||||
BIN
models/catboost_info/learn/events.out.tfevents
Normal file
BIN
models/catboost_info/learn/events.out.tfevents
Normal file
Binary file not shown.
101
models/catboost_info/learn_error.tsv
Normal file
101
models/catboost_info/learn_error.tsv
Normal file
@@ -0,0 +1,101 @@
|
||||
iter Logloss
|
||||
0 0.5362182115
|
||||
1 0.4350061839
|
||||
2 0.3627836859
|
||||
3 0.3133898847
|
||||
4 0.2751595914
|
||||
5 0.2397233684
|
||||
6 0.2113156522
|
||||
7 0.1953507088
|
||||
8 0.1840143441
|
||||
9 0.1706949477
|
||||
10 0.1620772533
|
||||
11 0.1545441635
|
||||
12 0.1465173236
|
||||
13 0.1415301698
|
||||
14 0.1355367956
|
||||
15 0.1308604636
|
||||
16 0.1258709194
|
||||
17 0.121327471
|
||||
18 0.1173725037
|
||||
19 0.1136409199
|
||||
20 0.1097959508
|
||||
21 0.1067253666
|
||||
22 0.1024064669
|
||||
23 0.09901992217
|
||||
24 0.09567527484
|
||||
25 0.09377244268
|
||||
26 0.09156823556
|
||||
27 0.08858936107
|
||||
28 0.08620594774
|
||||
29 0.08449640594
|
||||
30 0.08268042091
|
||||
31 0.08113275342
|
||||
32 0.07948416585
|
||||
33 0.07752156705
|
||||
34 0.0758993004
|
||||
35 0.07462952526
|
||||
36 0.07326399537
|
||||
37 0.07204226808
|
||||
38 0.0709181573
|
||||
39 0.0697872959
|
||||
40 0.06887255051
|
||||
41 0.06779376451
|
||||
42 0.06655209373
|
||||
43 0.06472935248
|
||||
44 0.06358214688
|
||||
45 0.06235626673
|
||||
46 0.06135828091
|
||||
47 0.06030088326
|
||||
48 0.0594838545
|
||||
49 0.05857401953
|
||||
50 0.05779726387
|
||||
51 0.05705401197
|
||||
52 0.0563860381
|
||||
53 0.05578116129
|
||||
54 0.05501245032
|
||||
55 0.05448421539
|
||||
56 0.05396827749
|
||||
57 0.05365568996
|
||||
58 0.05285317024
|
||||
59 0.05220569231
|
||||
60 0.05189669425
|
||||
61 0.05100777067
|
||||
62 0.05061405067
|
||||
63 0.0500145832
|
||||
64 0.04913773926
|
||||
65 0.04856317666
|
||||
66 0.04793897559
|
||||
67 0.04735074265
|
||||
68 0.04681185043
|
||||
69 0.04639291477
|
||||
70 0.04587299669
|
||||
71 0.04538571251
|
||||
72 0.04524987562
|
||||
73 0.04504062268
|
||||
74 0.04475003947
|
||||
75 0.04418860638
|
||||
76 0.04384235707
|
||||
77 0.04345384668
|
||||
78 0.0429983499
|
||||
79 0.04232998964
|
||||
80 0.04149603099
|
||||
81 0.04131352094
|
||||
82 0.04087094967
|
||||
83 0.0407229616
|
||||
84 0.04048230194
|
||||
85 0.04019292818
|
||||
86 0.03999431065
|
||||
87 0.03963063313
|
||||
88 0.03950575155
|
||||
89 0.03937511809
|
||||
90 0.03902639674
|
||||
91 0.0386153965
|
||||
92 0.03849577538
|
||||
93 0.03828038492
|
||||
94 0.037581457
|
||||
95 0.03730521765
|
||||
96 0.03698274753
|
||||
97 0.03692042628
|
||||
98 0.03669428709
|
||||
99 0.03630353367
|
||||
|
101
models/catboost_info/time_left.tsv
Normal file
101
models/catboost_info/time_left.tsv
Normal file
@@ -0,0 +1,101 @@
|
||||
iter Passed Remaining
|
||||
0 37 3689
|
||||
1 70 3472
|
||||
2 106 3454
|
||||
3 146 3518
|
||||
4 213 4064
|
||||
5 243 3818
|
||||
6 272 3614
|
||||
7 300 3459
|
||||
8 333 3374
|
||||
9 363 3273
|
||||
10 391 3169
|
||||
11 422 3100
|
||||
12 452 3028
|
||||
13 481 2956
|
||||
14 511 2896
|
||||
15 540 2838
|
||||
16 570 2787
|
||||
17 602 2743
|
||||
18 631 2692
|
||||
19 663 2652
|
||||
20 692 2605
|
||||
21 722 2562
|
||||
22 755 2529
|
||||
23 785 2487
|
||||
24 816 2448
|
||||
25 845 2407
|
||||
26 874 2363
|
||||
27 904 2326
|
||||
28 938 2298
|
||||
29 970 2264
|
||||
30 1000 2226
|
||||
31 1027 2182
|
||||
32 1055 2143
|
||||
33 1083 2103
|
||||
34 1110 2062
|
||||
35 1140 2027
|
||||
36 1171 1994
|
||||
37 1202 1962
|
||||
38 1236 1933
|
||||
39 1272 1908
|
||||
40 1305 1878
|
||||
41 1340 1850
|
||||
42 1367 1812
|
||||
43 1396 1777
|
||||
44 1425 1741
|
||||
45 1454 1707
|
||||
46 1484 1674
|
||||
47 1517 1643
|
||||
48 1547 1610
|
||||
49 1575 1575
|
||||
50 1605 1542
|
||||
51 1637 1511
|
||||
52 1668 1479
|
||||
53 1698 1447
|
||||
54 1730 1416
|
||||
55 1760 1383
|
||||
56 1790 1350
|
||||
57 1816 1315
|
||||
58 1843 1281
|
||||
59 1873 1248
|
||||
60 1900 1214
|
||||
61 1929 1182
|
||||
62 1958 1150
|
||||
63 1988 1118
|
||||
64 2019 1087
|
||||
65 2049 1055
|
||||
66 2076 1022
|
||||
67 2104 990
|
||||
68 2131 957
|
||||
69 2160 925
|
||||
70 2189 894
|
||||
71 2218 862
|
||||
72 2247 831
|
||||
73 2279 800
|
||||
74 2309 769
|
||||
75 2338 738
|
||||
76 2364 706
|
||||
77 2394 675
|
||||
78 2424 644
|
||||
79 2454 613
|
||||
80 2483 582
|
||||
81 2511 551
|
||||
82 2541 520
|
||||
83 2570 489
|
||||
84 2598 458
|
||||
85 2628 427
|
||||
86 2654 396
|
||||
87 2681 365
|
||||
88 2712 335
|
||||
89 2739 304
|
||||
90 2772 274
|
||||
91 2801 243
|
||||
92 2828 212
|
||||
93 2863 182
|
||||
94 2918 153
|
||||
95 2962 123
|
||||
96 2993 92
|
||||
97 3018 61
|
||||
98 3046 30
|
||||
99 3077 0
|
||||
|
223
models/catboost_model.py
Normal file
223
models/catboost_model.py
Normal file
@@ -0,0 +1,223 @@
|
||||
from itertools import product
|
||||
from operator import sub
|
||||
from tabnanny import verbose
|
||||
|
||||
import pandas
|
||||
from catboost import CatBoostClassifier
|
||||
from imblearn.over_sampling import KMeansSMOTE
|
||||
from model_utils import average_fold_results, get_metrics, scaling_handler
|
||||
from sklearn.model_selection import StratifiedKFold, train_test_split
|
||||
from tqdm import tqdm
|
||||
|
||||
|
||||
class CAT_BOOST:
|
||||
def __init__(
|
||||
self,
|
||||
data_frame,
|
||||
params={},
|
||||
n_split_kfold=5,
|
||||
test_size=0.15,
|
||||
seed=42,
|
||||
output_file_tuning="cat_boost_tuning_results.csv",
|
||||
):
|
||||
self.data_frame = data_frame
|
||||
self.params = params
|
||||
self.n_split_kfold = n_split_kfold
|
||||
self.test_size = test_size
|
||||
self.seed = 42
|
||||
|
||||
self.x_test = None
|
||||
self.y_test = None
|
||||
|
||||
self.scaling_method = self.params.get("scaling_method", None)
|
||||
self.sampling_method = self.params.get("sampling_method", None)
|
||||
self.class_weights = {0: 1.0, 1: 1.0}
|
||||
self.model = None
|
||||
|
||||
self.iterations = self.params.get("iterations", 100)
|
||||
self.learning_rate = self.params.get("learning_rate", 0.1)
|
||||
self.depth = self.params.get("depth", 6)
|
||||
self.l2_leaf_reg = self.params.get("l2_leaf_reg", 3)
|
||||
self.subsample = self.params.get("subsample", 0.6)
|
||||
self.k_neighbors = self.params.get("k_neighbors", 10)
|
||||
self.kmeans_estimator = self.params.get("kmeans_estimator", 5)
|
||||
self.tuning_results = None
|
||||
|
||||
self.output_file_tuning = output_file_tuning
|
||||
|
||||
def preprocess(self):
|
||||
self.scaling_method = self.params.get("scaling_method", None)
|
||||
|
||||
if self.scaling_method:
|
||||
self.data_frame = scaling_handler(self.data_frame, self.scaling_method)
|
||||
|
||||
def fit(self):
|
||||
y = self.data_frame["label"]
|
||||
X = self.data_frame.drop(columns=["label"])
|
||||
|
||||
x_train_val, self.x_test, y_train_val, self.y_test = train_test_split(
|
||||
X, y, test_size=self.test_size, stratify=y, random_state=self.seed
|
||||
)
|
||||
|
||||
skf = StratifiedKFold(
|
||||
n_splits=self.n_split_kfold, shuffle=True, random_state=self.seed
|
||||
)
|
||||
|
||||
fold_results = []
|
||||
|
||||
for fold_idx, (train_index, val_index) in enumerate(
|
||||
tqdm(
|
||||
skf.split(x_train_val, y_train_val),
|
||||
total=self.n_split_kfold,
|
||||
desc=" >> CatBoost Fitting: ",
|
||||
)
|
||||
):
|
||||
x_train_fold, x_val_fold = (
|
||||
x_train_val.iloc[train_index],
|
||||
x_train_val.iloc[val_index],
|
||||
)
|
||||
y_train_fold, y_val_fold = (
|
||||
y_train_val.iloc[train_index],
|
||||
y_train_val.iloc[val_index],
|
||||
)
|
||||
|
||||
self.sampling_method = self.params.get("sampling_method", None)
|
||||
if self.sampling_method == "KMeansSMOTE":
|
||||
smote = KMeansSMOTE(
|
||||
sampling_strategy="minority",
|
||||
k_neighbors=self.k_neighbors,
|
||||
kmeans_estimator=self.kmeans_estimator,
|
||||
cluster_balance_threshold=0.001,
|
||||
random_state=self.seed,
|
||||
n_jobs=-1,
|
||||
)
|
||||
x_train_fold, y_train_fold = smote.fit_resample(
|
||||
x_train_fold, y_train_fold
|
||||
)
|
||||
y_train_fold = y_train_fold.astype(int)
|
||||
|
||||
elif self.sampling_method == "class_weight":
|
||||
self.class_1_weight = int(
|
||||
(y_train_fold.shape[0] - y_train_fold.sum()) / y_train_fold.sum()
|
||||
)
|
||||
self.class_weights = {0: 1, 1: self.class_1_weight}
|
||||
|
||||
self.model = CatBoostClassifier(
|
||||
iterations=self.iterations,
|
||||
learning_rate=self.learning_rate,
|
||||
depth=self.depth,
|
||||
l2_leaf_reg=self.l2_leaf_reg,
|
||||
subsample=self.subsample,
|
||||
verbose=False,
|
||||
random_seed=self.seed,
|
||||
class_weights=self.class_weights,
|
||||
)
|
||||
|
||||
self.model.fit(x_train_fold, y_train_fold)
|
||||
y_pred_val = self.model.predict(x_val_fold)
|
||||
val_metrics = get_metrics(y_val_fold, y_pred_val)
|
||||
fold_results.append(val_metrics)
|
||||
|
||||
return average_fold_results(fold_results)
|
||||
|
||||
def eval(self, x_test=None, y_test=None):
|
||||
if x_test is not None and y_test is not None:
|
||||
self.x_test = x_test
|
||||
self.y_test = y_test
|
||||
self.y_pred_test = self.model.predict(self.x_test)
|
||||
test_metrics = get_metrics(self.y_test, self.y_pred_test)
|
||||
return test_metrics
|
||||
|
||||
def tune(self):
|
||||
scaling_methods = [
|
||||
"standard_scaling",
|
||||
"robust_scaling",
|
||||
"minmax_scaling",
|
||||
"yeo_johnson",
|
||||
]
|
||||
sampling_methods = [
|
||||
"KMeansSMOTE",
|
||||
"class_weight",
|
||||
]
|
||||
learning_rate_list = [0.03, 0.05, 0.1]
|
||||
depth_list = [6, 8]
|
||||
l2_leaf_reg_list = [1, 3]
|
||||
subsample_list = [0.8, 1.0]
|
||||
k_neighbors_list = [10]
|
||||
kmeans_estimator_list = [5]
|
||||
|
||||
tuning_results = []
|
||||
|
||||
param_product = list(
|
||||
product(
|
||||
scaling_methods,
|
||||
sampling_methods,
|
||||
learning_rate_list,
|
||||
depth_list,
|
||||
l2_leaf_reg_list,
|
||||
subsample_list,
|
||||
k_neighbors_list,
|
||||
kmeans_estimator_list,
|
||||
)
|
||||
)
|
||||
|
||||
for (
|
||||
scaling_method,
|
||||
sampling_method,
|
||||
learning_rate,
|
||||
depth,
|
||||
l2_leaf_reg,
|
||||
subsample,
|
||||
k_neighbors,
|
||||
kmeans_estimator,
|
||||
) in tqdm(param_product, total=len(param_product), desc=" > CatBoost Tuning: "):
|
||||
self.scaling_method = scaling_method
|
||||
self.sampling_method = sampling_method
|
||||
self.learning_rate = learning_rate
|
||||
self.depth = depth
|
||||
self.l2_leaf_reg = l2_leaf_reg
|
||||
self.subsample = subsample
|
||||
self.k_neighbors = k_neighbors
|
||||
self.kmeans_estimator = kmeans_estimator
|
||||
|
||||
print(
|
||||
" >> Fitting Params: ",
|
||||
scaling_method,
|
||||
sampling_method,
|
||||
learning_rate,
|
||||
depth,
|
||||
l2_leaf_reg,
|
||||
subsample,
|
||||
k_neighbors,
|
||||
kmeans_estimator,
|
||||
)
|
||||
self.preprocess()
|
||||
|
||||
fold_result = self.fit()
|
||||
|
||||
tuning_results.append(
|
||||
{
|
||||
"model": "cat_boost",
|
||||
"scaling_method": scaling_method,
|
||||
"sampling_method": sampling_method,
|
||||
"learning_rate": learning_rate,
|
||||
"depth": depth,
|
||||
"l2_leaf_reg": l2_leaf_reg,
|
||||
"subsample": subsample,
|
||||
"k_neighbors": k_neighbors,
|
||||
"kmeans_estimator": kmeans_estimator,
|
||||
"metrics": fold_result,
|
||||
}
|
||||
)
|
||||
|
||||
self.tuning_results = tuning_results
|
||||
|
||||
# Save tuning results to CSV
|
||||
df_tuning = pandas.DataFrame(tuning_results)
|
||||
metrics_df = df_tuning["metrics"].apply(pandas.Series)
|
||||
df_tuning = pandas.concat(
|
||||
[df_tuning.drop(columns=["metrics"]), metrics_df], axis=1
|
||||
)
|
||||
df_tuning.to_csv(self.output_file_tuning, index=False)
|
||||
|
||||
return
|
||||
55
models/compare_models.py
Normal file
55
models/compare_models.py
Normal file
@@ -0,0 +1,55 @@
|
||||
import pandas
|
||||
from catboost_model import CAT_BOOST
|
||||
from lightgbm_model import LIGHT_GBM
|
||||
|
||||
data_frame = pandas.read_csv("../data/Ketamine_icp_no_missing.csv")
|
||||
|
||||
cat_boost_results = pandas.read_csv("../cat_boost_tuning_results.csv")
|
||||
lgbm_results = pandas.read_csv("../lightgbm_tuning_results.csv")
|
||||
|
||||
|
||||
def get_best_params(results, metrics=["f2_class1", "f1_class1"]):
|
||||
max_f2 = results[metrics[0]].max()
|
||||
|
||||
best_f2_rows = results[results[metrics[0]] == max_f2]
|
||||
|
||||
best_row = best_f2_rows.loc[best_f2_rows[metrics[1]].idxmax()]
|
||||
|
||||
return best_row.to_dict()
|
||||
|
||||
|
||||
cat_boost_best_params = get_best_params(cat_boost_results)
|
||||
cat_boost_model = CAT_BOOST(data_frame, params=cat_boost_best_params)
|
||||
cat_boost_model.fit()
|
||||
cat_test_metrics = cat_boost_model.eval()
|
||||
print(cat_test_metrics)
|
||||
|
||||
x_test, y_test = cat_boost_model.x_test, cat_boost_model.y_test
|
||||
|
||||
lgbm_best_params = get_best_params(lgbm_results)
|
||||
lgbm_model = LIGHT_GBM(data_frame, params=lgbm_best_params)
|
||||
lgbm_model.fit()
|
||||
lgbm_test_metrics = lgbm_model.eval(x_test, y_test)
|
||||
print(lgbm_test_metrics)
|
||||
|
||||
import pandas as pd
|
||||
|
||||
|
||||
def clean_metrics(metrics):
|
||||
return {k: float(v) if hasattr(v, "item") else v for k, v in metrics.items()}
|
||||
|
||||
|
||||
cat_test_metrics_clean = clean_metrics(cat_test_metrics)
|
||||
lgbm_test_metrics_clean = clean_metrics(lgbm_test_metrics)
|
||||
|
||||
comparison_df = pd.DataFrame(
|
||||
[
|
||||
{"model": "catboost", **cat_test_metrics_clean},
|
||||
{"model": "lightgbm", **lgbm_test_metrics_clean},
|
||||
]
|
||||
)
|
||||
|
||||
comparison_filename = "comparison_catboost_lightgbm.csv"
|
||||
comparison_df.to_csv(comparison_filename, index=False)
|
||||
|
||||
print(f"Comparison saved to: {comparison_filename}")
|
||||
3
models/comparison_catboost_lightgbm.csv
Normal file
3
models/comparison_catboost_lightgbm.csv
Normal file
@@ -0,0 +1,3 @@
|
||||
model,accuracy,f1_macro,f2_macro,recall_macro,precision_macro,f1_class0,f2_class0,recall_class0,precision_class0,f1_class1,f2_class1,recall_class1,precision_class1,TP,TN,FP,FN
|
||||
catboost,0.9814814814814815,0.8195693865042805,0.8013174756506312,0.7903526990720451,0.8559205703525894,0.9904901243599122,0.9921698350221925,0.9932928107315029,0.9877032096706961,0.6486486486486487,0.6104651162790697,0.5874125874125874,0.7241379310344828,84,4739,32,59
|
||||
lightgbm,0.9824989824989825,0.8313827758297916,0.814631097485035,0.8044435128903794,0.8640127583880268,0.9910098264687435,0.9925038736965535,0.9935024103961434,0.9885297184567258,0.6717557251908397,0.6367583212735166,0.6153846153846154,0.7394957983193278,88,4740,31,55
|
||||
|
248
models/lightgbm_model.py
Normal file
248
models/lightgbm_model.py
Normal file
@@ -0,0 +1,248 @@
|
||||
from itertools import product
|
||||
from operator import sub
|
||||
from tabnanny import verbose
|
||||
|
||||
import lightgbm as lgb
|
||||
import pandas
|
||||
from imblearn.over_sampling import KMeansSMOTE
|
||||
from sklearn.model_selection import StratifiedKFold, train_test_split
|
||||
from tqdm import tqdm
|
||||
|
||||
from models.model_utils import average_fold_results, get_metrics, scaling_handler
|
||||
|
||||
|
||||
class LIGHT_GBM:
|
||||
def __init__(
|
||||
self,
|
||||
data_frame,
|
||||
params={},
|
||||
n_split_kfold=5,
|
||||
test_size=0.15,
|
||||
seed=42,
|
||||
output_file_tuning="lightgbm_tuning_results.csv",
|
||||
):
|
||||
self.data_frame = data_frame
|
||||
self.params = params
|
||||
self.n_split_kfold = n_split_kfold
|
||||
self.test_size = test_size
|
||||
self.seed = 42
|
||||
|
||||
self.x_test = None
|
||||
self.y_test = None
|
||||
|
||||
self.scaling_method = None
|
||||
self.sampling_method = None
|
||||
self.class_weights = {0: 1.0, 1: 1.0}
|
||||
self.model = None
|
||||
|
||||
self.learning_rate = self.params.get("learning_rate", 0.1)
|
||||
self.num_leaves = self.params.get("num_leaves", 100)
|
||||
self.boosting_type = self.params.get("boosting_type", "gbdt")
|
||||
self.l1_reg = self.params.get("l1_reg", 0.1)
|
||||
self.l2_reg = self.params.get("l2_reg", 0.1)
|
||||
self.subsample = self.params.get("subsample", 1.0)
|
||||
self.tree_subsample = self.params.get("tree_subsample", 1.0)
|
||||
self.k_neighbors = self.params.get("k_neighbors", 10)
|
||||
self.kmeans_estimator = self.params.get("kmeans_estimator", 5)
|
||||
self.tuning_results = None
|
||||
|
||||
self.output_file_tuning = output_file_tuning
|
||||
|
||||
def preprocess(self):
|
||||
self.scaling_method = self.params.get("scaling_method", None)
|
||||
if self.scaling_method:
|
||||
self.data_frame = scaling_handler(self.data_frame, self.scaling_method)
|
||||
|
||||
def fit(self):
|
||||
y = self.data_frame["label"]
|
||||
X = self.data_frame.drop(columns=["label"])
|
||||
|
||||
x_train_val, self.x_test, y_train_val, self.y_test = train_test_split(
|
||||
X, y, test_size=self.test_size, stratify=y, random_state=self.seed
|
||||
)
|
||||
|
||||
skf = StratifiedKFold(
|
||||
n_splits=self.n_split_kfold, shuffle=True, random_state=self.seed
|
||||
)
|
||||
|
||||
fold_results = []
|
||||
|
||||
for fold_idx, (train_index, val_index) in enumerate(
|
||||
tqdm(
|
||||
skf.split(x_train_val, y_train_val),
|
||||
total=self.n_split_kfold,
|
||||
desc=" >> LightGBM Fitting: ",
|
||||
)
|
||||
):
|
||||
x_train_fold, x_val = (
|
||||
x_train_val.iloc[train_index],
|
||||
x_train_val.iloc[val_index],
|
||||
)
|
||||
y_train_fold, y_val = (
|
||||
y_train_val.iloc[train_index],
|
||||
y_train_val.iloc[val_index],
|
||||
)
|
||||
|
||||
self.sampling_method = self.params.get("sampling_method", None)
|
||||
if self.sampling_method == "KMeansSMOTE":
|
||||
smote = KMeansSMOTE(
|
||||
sampling_strategy="minority",
|
||||
k_neighbors=self.k_neighbors,
|
||||
kmeans_estimator=self.kmeans_estimator,
|
||||
cluster_balance_threshold=0.001,
|
||||
random_state=self.seed,
|
||||
n_jobs=-1,
|
||||
)
|
||||
x_train_fold, y_train_fold = smote.fit_resample(
|
||||
x_train_fold, y_train_fold
|
||||
)
|
||||
y_train_fold = y_train_fold.astype(int)
|
||||
|
||||
elif self.sampling_method == "class_weight":
|
||||
self.class_1_weight = int(
|
||||
(y_train_fold.shape[0] - y_train_fold.sum()) / y_train_fold.sum()
|
||||
)
|
||||
self.class_weights = {0: 1, 1: self.class_1_weight}
|
||||
|
||||
self.model = lgb.LGBMClassifier(
|
||||
boosting_type=self.boosting_type,
|
||||
learning_rate=self.learning_rate,
|
||||
num_leaves=self.num_leaves,
|
||||
reg_alpha=self.l1_reg,
|
||||
reg_lambda=self.l2_reg,
|
||||
subsample=self.subsample,
|
||||
subsample_freq=1,
|
||||
colsample_bytree=self.tree_subsample,
|
||||
class_weight=self.class_weights
|
||||
if self.sampling_method == "class_weight"
|
||||
else None,
|
||||
n_estimators=100,
|
||||
random_state=self.seed,
|
||||
verbose=-1,
|
||||
)
|
||||
|
||||
self.model.fit(x_train_fold, y_train_fold)
|
||||
y_pred_val = self.model.predict(x_val)
|
||||
val_metrics = get_metrics(y_val, y_pred_val)
|
||||
fold_results.append(val_metrics)
|
||||
|
||||
return average_fold_results(fold_results)
|
||||
|
||||
def eval(self, x_test=None, y_test=None):
|
||||
if x_test is not None and y_test is not None:
|
||||
self.x_test = x_test
|
||||
self.y_test = y_test
|
||||
self.y_pred_test = self.model.predict(self.x_test)
|
||||
test_metrics = get_metrics(self.y_test, self.y_pred_test)
|
||||
return test_metrics
|
||||
|
||||
def tune(self):
|
||||
scaling_methods = [
|
||||
"standard_scaling",
|
||||
"robust_scaling",
|
||||
"minmax_scaling",
|
||||
"yeo_johnson",
|
||||
]
|
||||
sampling_methods = [
|
||||
"KMeansSMOTE",
|
||||
"class_weight",
|
||||
]
|
||||
boosting_type_list = ["gbdt", "dart"]
|
||||
learning_rate_list = [0.03, 0.05, 0.1]
|
||||
number_of_leaves_list = [100]
|
||||
l2_regularization_lambda_list = [0.1]
|
||||
l1_regularization_alpha_list = [0.1]
|
||||
tree_subsample_tree_list = [0.8, 1.0]
|
||||
subsample_list = [0.8, 1.0]
|
||||
kmeans_smote_k_neighbors_list = [10]
|
||||
kmeans_smote_n_clusters_list = [5]
|
||||
|
||||
tuning_results = []
|
||||
|
||||
param_product = list(
|
||||
product(
|
||||
scaling_methods,
|
||||
sampling_methods,
|
||||
boosting_type_list,
|
||||
learning_rate_list,
|
||||
number_of_leaves_list,
|
||||
l2_regularization_lambda_list,
|
||||
l1_regularization_alpha_list,
|
||||
tree_subsample_tree_list,
|
||||
subsample_list,
|
||||
kmeans_smote_k_neighbors_list,
|
||||
kmeans_smote_n_clusters_list,
|
||||
)
|
||||
)
|
||||
|
||||
for (
|
||||
scaling_method,
|
||||
sampling_method,
|
||||
boosting_type,
|
||||
learning_rate,
|
||||
num_leaves,
|
||||
l2_reg,
|
||||
l1_reg,
|
||||
tree_subsample,
|
||||
subsample,
|
||||
k_neighbors,
|
||||
kmeans_estimator,
|
||||
) in tqdm(param_product, total=len(param_product), desc=" > LightGBM Tuning: "):
|
||||
self.scaling_method = scaling_method
|
||||
self.sampling_method = sampling_method
|
||||
self.boosting_type = boosting_type
|
||||
self.learning_rate = learning_rate
|
||||
self.num_leaves = num_leaves
|
||||
self.l2_reg = l2_reg
|
||||
self.l1_reg = l1_reg
|
||||
self.tree_subsample = tree_subsample
|
||||
self.subsample = subsample
|
||||
self.k_neighbors = k_neighbors
|
||||
self.kmeans_estimator = kmeans_estimator
|
||||
|
||||
print(
|
||||
" >> Fitting Params: ",
|
||||
scaling_method,
|
||||
sampling_method,
|
||||
boosting_type,
|
||||
learning_rate,
|
||||
num_leaves,
|
||||
l2_reg,
|
||||
l1_reg,
|
||||
tree_subsample,
|
||||
subsample,
|
||||
k_neighbors,
|
||||
kmeans_estimator,
|
||||
)
|
||||
self.preprocess()
|
||||
|
||||
fold_result = self.fit()
|
||||
|
||||
tuning_results.append(
|
||||
{
|
||||
"model": "lightgbm",
|
||||
"scaling_method": scaling_method,
|
||||
"sampling_method": sampling_method,
|
||||
"boosting_type": boosting_type,
|
||||
"learning_rate": learning_rate,
|
||||
"num_leaves": num_leaves,
|
||||
"l2_reg": l2_reg,
|
||||
"l1_reg": l1_reg,
|
||||
"tree_subsample": tree_subsample,
|
||||
"subsample": subsample,
|
||||
"k_neighbors": k_neighbors,
|
||||
"kmeans_estimator": kmeans_estimator,
|
||||
"metrics": fold_result,
|
||||
}
|
||||
)
|
||||
|
||||
self.tuning_results = tuning_results
|
||||
|
||||
df_tuning = pandas.DataFrame(tuning_results)
|
||||
metrics_df = df_tuning["metrics"].apply(pandas.Series)
|
||||
df_tuning = pandas.concat(
|
||||
[df_tuning.drop(columns=["metrics"]), metrics_df], axis=1
|
||||
)
|
||||
df_tuning.to_csv(self.output_file_tuning, index=False)
|
||||
|
||||
return
|
||||
159
models/model_utils.py
Normal file
159
models/model_utils.py
Normal file
@@ -0,0 +1,159 @@
|
||||
def split_path(full_path):
|
||||
import os
|
||||
|
||||
directory = os.path.dirname(full_path)
|
||||
filename = os.path.splitext(os.path.basename(full_path))[0]
|
||||
return directory, filename
|
||||
|
||||
|
||||
def write_textfile(path, data_list):
|
||||
with open(path, "w") as file:
|
||||
for data in data_list:
|
||||
file.write(f"{data} \n")
|
||||
|
||||
|
||||
def missing_value_handler(data_path):
|
||||
import pandas
|
||||
from sklearn.impute import KNNImputer
|
||||
|
||||
data_directory, data_filename = split_path(data_path)
|
||||
|
||||
data_frame = pandas.read_csv(data_path)
|
||||
|
||||
columns = list(data_frame.head(0))
|
||||
# remove column id
|
||||
if "id" in columns:
|
||||
data_frame = data_frame.drop("id", axis="columns")
|
||||
|
||||
columns = list(data_frame.head(0))
|
||||
write_textfile(f"{data_directory}/columns.txt", columns)
|
||||
|
||||
# find missing values
|
||||
missing_value_counts = data_frame.isna().sum()
|
||||
write_textfile(f"{data_directory}/missing.txt", missing_value_counts)
|
||||
|
||||
# fill missing values - KNNImputer
|
||||
|
||||
imputer = KNNImputer(n_neighbors=5)
|
||||
data_imputed = imputer.fit_transform(data_frame)
|
||||
data_frame_imputed = pandas.DataFrame(data_imputed, columns=columns)
|
||||
|
||||
missing_value_counts = data_frame_imputed.isna().sum()
|
||||
write_textfile(f"{data_directory}/no_missing.txt", missing_value_counts)
|
||||
|
||||
data_frame_imputed.to_csv("./data/Ketamine_icp_no_missing.csv", index=False)
|
||||
|
||||
return data_frame_imputed
|
||||
|
||||
|
||||
def scaling_handler(data_frame, method="robust_scaling"):
|
||||
import pandas
|
||||
from sklearn.preprocessing import (
|
||||
MaxAbsScaler,
|
||||
MinMaxScaler,
|
||||
PowerTransformer,
|
||||
QuantileTransformer,
|
||||
RobustScaler,
|
||||
StandardScaler,
|
||||
)
|
||||
|
||||
labels = data_frame["label"]
|
||||
X = data_frame.drop("label", axis=1)
|
||||
|
||||
if method == "robust_scaling":
|
||||
scaler = RobustScaler()
|
||||
elif method == "standard_scaling":
|
||||
scaler = StandardScaler()
|
||||
elif method == "minmax_scaling":
|
||||
scaler = MinMaxScaler()
|
||||
elif method == "maxabs_scaling":
|
||||
scaler = MaxAbsScaler()
|
||||
elif method == "quantile_normal":
|
||||
scaler = QuantileTransformer(output_distribution="normal", random_state=42)
|
||||
elif method == "quantile_uniform":
|
||||
scaler = QuantileTransformer(output_distribution="uniform", random_state=42)
|
||||
elif method == "yeo_johnson":
|
||||
scaler = PowerTransformer(method="yeo-johnson")
|
||||
elif method == "box_cox":
|
||||
# Box-Cox requires all positive values
|
||||
scaler = PowerTransformer(
|
||||
method="box-cox",
|
||||
)
|
||||
X_pos = X.copy()
|
||||
|
||||
min_per_column = X_pos.min()
|
||||
|
||||
for col in X_pos.columns:
|
||||
if min_per_column[col] <= 0:
|
||||
X_pos[col] = X_pos[col] + abs(min_per_column[col]) + 1e-6
|
||||
|
||||
X = X_pos
|
||||
else:
|
||||
raise ValueError(f"Unknown scaling method: {method}")
|
||||
|
||||
X_scaled = scaler.fit_transform(X)
|
||||
data_frame_scaled = pandas.DataFrame(X_scaled, columns=X.columns)
|
||||
data_frame_scaled["label"] = labels.values
|
||||
|
||||
return data_frame_scaled
|
||||
|
||||
|
||||
def get_metrics(y_true, y_pred, prefix=""):
|
||||
from sklearn.metrics import (
|
||||
accuracy_score,
|
||||
f1_score,
|
||||
fbeta_score,
|
||||
precision_score,
|
||||
recall_score,
|
||||
)
|
||||
|
||||
metrics = {}
|
||||
metrics[f"{prefix}accuracy"] = accuracy_score(y_true, y_pred)
|
||||
metrics[f"{prefix}f1_macro"] = f1_score(y_true, y_pred, average="macro")
|
||||
metrics[f"{prefix}f2_macro"] = fbeta_score(y_true, y_pred, beta=2, average="macro")
|
||||
metrics[f"{prefix}recall_macro"] = recall_score(y_true, y_pred, average="macro")
|
||||
metrics[f"{prefix}precision_macro"] = precision_score(
|
||||
y_true, y_pred, average="macro"
|
||||
)
|
||||
|
||||
f1_scores = f1_score(y_true, y_pred, average=None, zero_division=0)
|
||||
f2_scores = fbeta_score(y_true, y_pred, beta=2, average=None, zero_division=0)
|
||||
recall_scores = recall_score(y_true, y_pred, average=None, zero_division=0)
|
||||
precision_scores = precision_score(y_true, y_pred, average=None, zero_division=0)
|
||||
|
||||
for i in range(len(f1_scores)):
|
||||
metrics[f"{prefix}f1_class{i}"] = f1_scores[i]
|
||||
metrics[f"{prefix}f2_class{i}"] = f2_scores[i]
|
||||
metrics[f"{prefix}recall_class{i}"] = recall_scores[i]
|
||||
metrics[f"{prefix}precision_class{i}"] = precision_scores[i]
|
||||
|
||||
TP = sum((y_true == 1) & (y_pred == 1))
|
||||
TN = sum((y_true == 0) & (y_pred == 0))
|
||||
FP = sum((y_true == 0) & (y_pred == 1))
|
||||
FN = sum((y_true == 1) & (y_pred == 0))
|
||||
|
||||
metrics[f"{prefix}TP"] = TP
|
||||
metrics[f"{prefix}TN"] = TN
|
||||
metrics[f"{prefix}FP"] = FP
|
||||
metrics[f"{prefix}FN"] = FN
|
||||
|
||||
return metrics
|
||||
|
||||
|
||||
import numpy as np
|
||||
import pandas as pd
|
||||
|
||||
|
||||
def average_fold_results(fold_results):
|
||||
if not fold_results:
|
||||
return {}
|
||||
|
||||
df = pd.DataFrame(fold_results)
|
||||
|
||||
avg_metrics = df.mean().to_dict()
|
||||
|
||||
for k, v in avg_metrics.items():
|
||||
if isinstance(v, (np.float32, np.float64)):
|
||||
avg_metrics[k] = float(v)
|
||||
|
||||
return avg_metrics
|
||||
9
results/lgbm_vs_cat_kmeans_smote_k10_results.csv
Normal file
9
results/lgbm_vs_cat_kmeans_smote_k10_results.csv
Normal file
@@ -0,0 +1,9 @@
|
||||
model,stage,accuracy,f1_macro,f2_macro,recall_macro,precision_macro,f1_class0,f1_class1,f2_class0,f2_class1,recall_class0,recall_class1,precision_class0,precision_class1,TP,TN,FP,FN
|
||||
CatBoost_balanced,train,0.9843784049402589,0.8696686267343388,0.8824472728294012,0.8916952848998795,0.8508242781484853,0.9919396338322237,0.7473976196364541,0.9908276010500254,0.7740669446087769,0.9900881006639566,0.7933024691358025,0.9938004847319636,0.7078480715650071,789,26898,140,19
|
||||
CatBoost_balanced,test,0.9802604802604803,0.8348421298822796,0.8461546793313885,0.8541662696976049,0.8176680164072361,0.9898162729658793,0.6798679867986799,0.988757446094471,0.703551912568306,0.9880528191154894,0.7202797202797203,0.991586032814472,0.64375,103,4714,57,40
|
||||
LGBM_KMEANS_SMOTE,train,0.9883286128479746,0.8784419356817057,0.8436008106620193,0.8240767336379762,0.9582821430574249,0.9940169232360254,0.7628669481273861,0.9966698960611392,0.6905317252628993,0.9984466771524954,0.6497067901234568,0.9896275269971563,0.9269367591176938,775,27036,2,33
|
||||
LGBM_KMEANS_SMOTE,test,0.9865689865689866,0.8543196878009516,0.8121616449258658,0.7895809912158687,0.9600745182511498,0.9931221342225928,0.7155172413793104,0.9964866786565728,0.6278366111951589,0.9987424020121568,0.5804195804195804,0.9875647668393782,0.9325842696629213,83,4765,6,60
|
||||
CatBoost_balanced,train,0.9843784049402589,0.8696686267343388,0.8824472728294012,0.8916952848998795,0.8508242781484853,0.9919396338322237,0.7473976196364541,0.9908276010500254,0.7740669446087769,0.9900881006639566,0.7933024691358025,0.9938004847319636,0.7078480715650071,789,26898,140,19
|
||||
CatBoost_balanced,test,0.9802604802604803,0.8348421298822796,0.8461546793313885,0.8541662696976049,0.8176680164072361,0.9898162729658793,0.6798679867986799,0.988757446094471,0.703551912568306,0.9880528191154894,0.7202797202797203,0.991586032814472,0.64375,103,4714,57,40
|
||||
LGBM_KMEANS_SMOTE,train,0.9883286128479746,0.8784419356817057,0.8436008106620193,0.8240767336379762,0.9582821430574249,0.9940169232360254,0.7628669481273861,0.9966698960611392,0.6905317252628993,0.9984466771524954,0.6497067901234568,0.9896275269971563,0.9269367591176938,775,27036,2,33
|
||||
LGBM_KMEANS_SMOTE,test,0.9865689865689866,0.8543196878009516,0.8121616449258658,0.7895809912158687,0.9600745182511498,0.9931221342225928,0.7155172413793104,0.9964866786565728,0.6278366111951589,0.9987424020121568,0.5804195804195804,0.9875647668393782,0.9325842696629213,83,4765,6,60
|
||||
|
193
results/results_catboost_tuning.csv
Normal file
193
results/results_catboost_tuning.csv
Normal file
@@ -0,0 +1,193 @@
|
||||
iteration,model,params,avg_val_accuracy,test_accuracy,avg_val_f1_macro,test_f1_macro,avg_val_f2_macro,test_f2_macro,avg_val_recall_macro,test_recall_macro,avg_val_precision_macro,test_precision_macro,avg_val_f1_class0,test_f1_class0,avg_val_f1_class1,test_f1_class1,avg_val_f2_class0,test_f2_class0,avg_val_f2_class1,test_f2_class1,avg_val_recall_class0,test_recall_class0,avg_val_recall_class1,test_recall_class1,avg_val_precision_class0,test_precision_class0,avg_val_precision_class1,test_precision_class1,avg_val_TP,test_TP,avg_val_TN,test_TN,avg_val_FP,test_FP,avg_val_FN,test_FN
|
||||
0,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'standard_scaling'}",0.9836959985918459,0.9818884818884819,0.8503833428328909,0.8311370850445974,0.8421460012891915,0.8208106409719313,0.8373086437903854,0.8143042243859682,0.8670305978904527,0.8500362385081488,0.9916120128599493,0.9906874542220362,0.7091546728058324,0.6715867158671587,0.9922722721012012,0.9916212819438626,0.692019730477182,0.65,0.9927140593007311,0.9922448124083001,0.6819032282800398,0.6363636363636364,0.9905180222167175,0.9891349770162975,0.7435431735641876,0.7109375,110.2,91,5368.2,4734,39.4,37,51.4,52
|
||||
1,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'standard_scaling'}",0.9777704934310316,0.9861619861619861,0.833228302428493,0.8499051328858289,0.8671302415669343,0.8082749335304329,0.8942706966433456,0.7859796878870449,0.7898273786889105,0.9543529137800547,0.9884877444816569,0.9929137140475198,0.6779688603753289,0.7068965517241379,0.9851352071475208,0.9962775523861307,0.7491252759863476,0.6202723146747352,0.982912990556839,0.9985328023475163,0.805628402729852,0.5734265734265734,0.9941271433996267,0.9873575129533678,0.5855276139781941,0.9213483146067416,130.2,82,5315.2,4764,92.4,7,31.4,61
|
||||
2,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'standard_scaling'}",0.9835164073498687,0.9818884818884819,0.8490581437874211,0.8311370850445974,0.8415838131705449,0.8208106409719313,0.8372085097859262,0.8143042243859682,0.8642175021285254,0.8500362385081488,0.9915190916955767,0.9906874542220362,0.7065971958792655,0.6715867158671587,0.9921242029264252,0.9916212819438626,0.6910434234146647,0.65,0.9925291275390329,0.9922448124083001,0.6818878920328195,0.6363636363636364,0.9905166269662289,0.9891349770162975,0.7379183772908221,0.7109375,110.2,91,5367.2,4734,40.4,37,51.4,52
|
||||
3,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'standard_scaling'}",0.9792428656582848,0.9855514855514855,0.8426154736989677,0.8439396413099634,0.8748879195200697,0.8038417154985349,0.9004295319179321,0.7822735847259008,0.800633879546418,0.9435737976782753,0.989254353849541,0.9926003126628452,0.6959765935483945,0.6952789699570815,0.986153005125123,0.9959009536556801,0.7636228339150163,0.6117824773413897,0.9840965456240705,0.9981136030182352,0.8167625182117936,0.5664335664335665,0.9944681924419113,0.9871475953565506,0.6067995666509246,0.9,132.0,81,5321.6,4762,86.0,9,29.6,62
|
||||
4,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'standard_scaling'}",0.9830854631611965,0.9806674806674807,0.8444466123357083,0.8247747610795253,0.8359448119437027,0.8201022404248155,0.8309910233274715,0.8170671290562299,0.8617840830986598,0.8328983330460691,0.9912983540257126,0.9900513142737459,0.6975948706457037,0.6594982078853047,0.9919913642963373,0.9904869667253373,0.6798982595910681,0.6497175141242938,0.9924551698816895,0.9907776147558164,0.6695268767732535,0.6433566433566433,0.9901505152964749,0.9893260778568439,0.7334176509008448,0.6764705882352942,108.2,92,5366.8,4727,40.8,44,53.4,51
|
||||
5,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'standard_scaling'}",0.9766213003311162,0.9861619861619861,0.8282667296709023,0.8499051328858289,0.8655558235615745,0.8082749335304329,0.8960856336387624,0.7859796878870449,0.7818694784280174,0.9543529137800547,0.9878828804471741,0.9929137140475198,0.6686505788946306,0.7068965517241379,0.9840922083904875,0.9962775523861307,0.7470194387326615,0.6202723146747352,0.9815815885719037,0.9985328023475163,0.8105896787056208,0.5734265734265734,0.9942675424302492,0.9873575129533678,0.5694714144257854,0.9213483146067416,131.0,82,5308.0,4764,99.6,7,30.6,61
|
||||
6,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'standard_scaling'}",0.9834445876168182,0.9814814814814815,0.8480565198950298,0.8273424127984086,0.8399982205343853,0.817134478424801,0.8353828069223974,0.8107029210571445,0.8648736951754852,0.8460255171333055,0.991482470473956,0.9904781835303965,0.7046305693161037,0.6642066420664207,0.9921315087105121,0.9914118139924591,0.6878649323582586,0.6428571428571429,0.9925660892684587,0.9920352127436596,0.6781995245763361,0.6293706293706294,0.9904082761921845,0.988926034266611,0.739339114158786,0.703125,109.6,90,5367.4,4733,40.2,38,52.0,53
|
||||
7,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'standard_scaling'}",0.9772677101665316,0.9861619861619861,0.8335820375575876,0.8511569731081927,0.8723791821004074,0.8110472197412031,0.9042296019514786,0.789371391551228,0.7855109502194862,0.9498237611445158,0.9882165504467866,0.9929122368146759,0.6789475246683887,0.7094017094017094,0.9843362470693189,0.9961517547161919,0.760422117131496,0.6259426847662142,0.981766465616016,0.9983232026828757,0.8266927382869411,0.5804195804195804,0.9947529994233643,0.9875596102011196,0.5762689010156086,0.9120879120879121,133.6,83,5309.0,4763,98.6,8,28.0,60
|
||||
8,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'standard_scaling'}",0.985096544638456,0.9835164835164835,0.8585729444489173,0.8429347386448162,0.8434482396648738,0.8278311019035429,0.8344179216671094,0.8185343267087136,0.889046398570961,0.8717278113796217,0.9923402668444922,0.9915298546481229,0.7248056220533428,0.6943396226415094,0.993561646415106,0.9928379963142905,0.6933348329146416,0.6628242074927954,0.9943783630796371,0.9937120100607839,0.6744574802545816,0.6433566433566433,0.9903144308489432,0.9893572621035058,0.7877783662929788,0.7540983606557377,109.0,92,5377.2,4741,30.4,30,52.6,51
|
||||
9,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'standard_scaling'}",0.9844141443416088,0.9861619861619861,0.860822728291027,0.8486315083758391,0.8591203649369745,0.8054854277835695,0.8580872070377591,0.7825879842228616,0.8640595706246244,0.959095032968289,0.9919755925243938,0.9929151906647218,0.7296698640576607,0.7043478260869566,0.992107799790999,0.9964033290117519,0.7261329300829503,0.6145675265553869,0.9921961915465707,0.9987424020121568,0.7239782225289472,0.5664335664335665,0.991756262138165,0.9871555831779574,0.7363628791110837,0.9310344827586207,117.0,81,5365.4,4765,42.2,6,44.6,62
|
||||
10,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'standard_scaling'}",0.9849887795771217,0.9839234839234839,0.8592497644352056,0.8479285580818141,0.8454188939444627,0.8341042628974531,0.8373755895748365,0.8255273337017206,0.8879885654105774,0.8739174355175432,0.9922816875173123,0.9917372659763624,0.726217841353099,0.704119850187266,0.9933605268760685,0.992921169473067,0.697477261012857,0.6752873563218391,0.994082518770868,0.9937120100607839,0.6806686603788052,0.6573426573426573,0.9904946323445923,0.9897703549060543,0.7854824984765625,0.7580645161290323,110.0,94,5375.6,4741,32.0,30,51.6,49
|
||||
11,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'standard_scaling'}",0.9848451272158361,0.9857549857549858,0.8633896572691946,0.844179493916305,0.8595086205883866,0.8015872466872441,0.8571115490746607,0.7789866808940379,0.870647713252939,0.953244322524878,0.9921996367898099,0.9927068139195666,0.734579677748579,0.6956521739130435,0.9925079856313637,0.9961942202333653,0.7265092555454098,0.6069802731411229,0.9927140114228432,0.9985328023475163,0.7215090867264781,0.5594405594405595,0.991687560074482,0.9869484151646986,0.7496078664313959,0.9195402298850575,116.6,80,5368.2,4764,39.4,7,45.0,63
|
||||
12,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'standard_scaling'}",0.9845578482836348,0.9829059829059829,0.8563663299732726,0.8388902766502218,0.8454671199718229,0.8261528709939931,0.8389500335245936,0.8182199272117527,0.8780677288206494,0.8626752975569012,0.9920587232276177,0.9912133891213389,0.7206739367189277,0.6865671641791045,0.9929390378954386,0.9923344363925773,0.697995202048207,0.6599713055954088,0.993527702966678,0.9930832110668623,0.684372364082509,0.6433566433566433,0.99059865579935,0.9893505951138024,0.765536801841949,0.736,110.6,92,5372.6,4738,35.0,33,51.0,51
|
||||
13,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'standard_scaling'}",0.9835881690545862,0.9861619861619861,0.8604440218282645,0.8499051328858289,0.8690024937032241,0.8082749335304329,0.8750690128468441,0.7859796878870449,0.8474268563811116,0.9543529137800547,0.9915373100710676,0.9929137140475198,0.7293507335854615,0.7068965517241379,0.9907781531251416,0.9962775523861307,0.7472268342813067,0.6202723146747352,0.9902729846692268,0.9985328023475163,0.7598650410244614,0.5734265734265734,0.9928063346703722,0.9873575129533678,0.7020473780918509,0.9213483146067416,122.8,82,5355.0,4764,52.6,7,38.8,61
|
||||
14,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'standard_scaling'}",0.9843782892796202,0.9831094831094831,0.8548343786951275,0.842521101783164,0.8444363446947081,0.8318391286133222,0.8382511272128722,0.8251081343724396,0.875660568579242,0.8620684026326786,0.9919660968482618,0.9913152662969551,0.7177026605419935,0.6937269372693727,0.9928132306858364,0.9922496857980729,0.6960594587035798,0.6714285714285714,0.99337979449169,0.9928736114022217,0.6831224599340542,0.6573426573426573,0.9905614094093099,0.9897618052653573,0.7607597277491742,0.734375,110.4,94,5371.8,4737,35.8,34,51.2,49
|
||||
15,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'standard_scaling'}",0.9834445231408931,0.9857549857549858,0.8585152131064107,0.844179493916305,0.8660243812195902,0.8015872466872441,0.871386989342932,0.7789866808940379,0.8472268537593868,0.953244322524878,0.9914645120649892,0.9927068139195666,0.7255659141478319,0.6956521739130435,0.990793456215173,0.9961942202333653,0.7412553062240076,0.6069802731411229,0.9903470175632508,0.9985328023475163,0.7524269611226132,0.5594405594405595,0.9925866849189425,0.9869484151646986,0.7018670225998311,0.9195402298850575,121.6,80,5355.4,4764,52.2,7,40.0,63
|
||||
16,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'standard_scaling'}",0.9852042839094203,0.9829059829059829,0.8591013566121541,0.8377128766278801,0.843357341174432,0.8235684959885494,0.8338746022135336,0.8148282235475697,0.8903497870028734,0.8644918571915838,0.9923966195989122,0.9912152269399708,0.7258060936253962,0.6842105263157895,0.9936730069527971,0.9924607329842932,0.6930416753960669,0.6546762589928058,0.99452629207372,0.9932928107315029,0.6732229123533471,0.6363636363636364,0.990278694812452,0.9891463160091839,0.7904208791932946,0.7398373983739838,108.8,91,5378.0,4739,29.6,32,52.8,52
|
||||
17,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'standard_scaling'}",0.9854556110657452,0.9861619861619861,0.8742479754482927,0.8486315083758391,0.8795206560822282,0.8054854277835695,0.8832314698688688,0.7825879842228616,0.8661556775500792,0.959095032968289,0.9925042501994371,0.9929151906647218,0.7559917006971485,0.7043478260869566,0.9920528534779128,0.9964033290117519,0.7669884586865434,0.6145675265553869,0.9917524114040205,0.9987424020121568,0.7747105283337167,0.5664335664335665,0.9932585419218753,0.9871555831779574,0.7390528131782832,0.9310344827586207,125.2,81,5363.0,4765,44.6,6,36.4,62
|
||||
18,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'standard_scaling'}",0.985527450141573,0.9829059829059829,0.8612353081714964,0.8411930908822298,0.8438576249283887,0.8312762678885206,0.8334345750613062,0.8250033345401193,0.8960232034579164,0.859220918082185,0.9925641484406432,0.9912097111762244,0.7299064679023494,0.6911764705882353,0.9939617348758512,0.9920817797142737,0.693753514980926,0.6704707560627675,0.99489614191772,0.9926640117375812,0.6719730082048921,0.6573426573426573,0.9902455045426208,0.9897596656217346,0.8018009023732121,0.7286821705426356,108.6,94,5380.0,4736,27.6,35,53.0,49
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19,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'standard_scaling'}",0.9857069898028101,0.9867724867724867,0.875516842420696,0.857127840635882,0.8794196618303813,0.8154847231608375,0.8821479755792095,0.7930774947123721,0.8694794389240332,0.9605514096185739,0.9926355370392489,0.993225638353309,0.7583981478021433,0.721030042918455,0.9923051686408139,0.9965283587083821,0.7665341550199488,0.6344410876132931,0.9920852311216122,0.9987424020121568,0.772210720036807,0.5874125874125874,0.9931873864715641,0.9877694859038143,0.7457714913765023,0.9333333333333333,124.8,84,5364.8,4765,42.8,6,36.8,59
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20,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'standard_scaling'}",0.9848451465586135,0.9831094831094831,0.8578980478544278,0.8413834487516582,0.8449995607616705,0.8292825585548906,0.8372862614717818,0.8217164307082563,0.8837164915524758,0.8638262322472849,0.9922082995744397,0.9913170833769223,0.7235877961344157,0.6914498141263941,0.9932427909686832,0.9923760053619303,0.696756330554658,0.666189111747851,0.993934535059199,0.9930832110668623,0.6806379878843647,0.6503496503496503,0.9904924365174654,0.9895572263993316,0.7769405465874861,0.7380952380952381,110.0,93,5374.8,4738,32.8,33,51.6,50
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21,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'standard_scaling'}",0.9845219029553508,0.986975986975987,0.8698030164940406,0.8610706662331604,0.8811907091671406,0.8215303999383525,0.8893450351340496,0.7999657018730588,0.8527575233127962,0.9564539548079303,0.9920159371267733,0.9933277731442869,0.7475900958613078,0.7288135593220338,0.9910359053245955,0.9964442585233215,0.7713455130096858,0.6466165413533834,0.9903839587735819,0.9985328023475163,0.7883061114945173,0.6013986013986014,0.9936549838375447,0.9881767268201618,0.7118600627880478,0.9247311827956989,127.4,86,5355.6,4764,52.0,7,34.2,57
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22,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'standard_scaling'}",0.9848810338585648,0.9839234839234839,0.8572385245926517,0.8490276198961566,0.8429098030071417,0.8366553327392703,0.8343031271803456,0.8289190373659039,0.885742499312083,0.8719715956558062,0.9922284455454948,0.9917355371900827,0.7222486036398086,0.7063197026022305,0.9933839125983333,0.9927949061662198,0.69243569341595,0.6805157593123209,0.9941564422297198,0.9935024103961434,0.6744498121309714,0.6643356643356644,0.9903114927254559,0.9899749373433584,0.7811735058987099,0.753968253968254,109.0,95,5376.0,4740,31.6,31,52.6,48
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23,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'standard_scaling'}",0.9857788159834528,0.9867724867724867,0.8784839889543908,0.8583142406586364,0.8862776919629682,0.818231408861414,0.8918001496056867,0.7964691983765553,0.8666283579401423,0.9559424197067787,0.9926680110948627,0.9932242259981237,0.7642999668139189,0.723404255319149,0.9920072029043858,0.9964025767589726,0.7805481810215507,0.6400602409638554,0.9915674796423222,0.9985328023475163,0.7920328195690514,0.5944055944055944,0.9937726356177532,0.9879717959352966,0.7394840802625315,0.9239130434782609,128.0,85,5362.0,4764,45.6,7,33.6,58
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24,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'standard_scaling'}",0.9862816185907304,0.9843304843304843,0.8672185689164964,0.8461719843544885,0.8480914656258485,0.8248690951845485,0.8368322095688734,0.8121701187096282,0.9070127106465492,0.8892160087719299,0.9929532733995377,0.9919548636506113,0.7414838644334552,0.7003891050583657,0.9944720032893819,0.9937615139842573,0.701710927962315,0.6559766763848397,0.9954878989322411,0.9949696080486271,0.6781765202055057,0.6293706293706294,0.9904355947940818,0.9889583333333334,0.8235898264990166,0.7894736842105263,109.6,90,5383.2,4747,24.4,24,52.0,53
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25,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'standard_scaling'}",0.987287146434175,0.9865689865689866,0.8793207329883772,0.8543196878009516,0.8640834480409524,0.8121616449258658,0.8547686025189922,0.7895809912158687,0.9088091992486815,0.9600745182511498,0.9934665390741285,0.9931221342225928,0.7651749269026261,0.7155172413793104,0.9946559996735264,0.9964866786565728,0.7335108964083782,0.6278366111951589,0.9954508619661343,0.9987424020121568,0.7140863430718503,0.5804195804195804,0.9914916199405575,0.9875647668393782,0.8261267785568057,0.9325842696629213,115.4,83,5383.0,4765,24.6,6,46.2,60
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26,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'standard_scaling'}",0.9861379726770372,0.9845339845339846,0.8651922681807562,0.8498745819397994,0.8446678192218264,0.8306556171204234,0.8325513658798114,0.819058325870315,0.907594390231754,0.8878465707734,0.9928805856772964,0.992056856187291,0.7375039506842161,0.7076923076923077,0.9945094105669959,0.9936769817009338,0.6948262278766573,0.6676342525399129,0.9955988593571996,0.9947600083839866,0.669503872402423,0.6433566433566433,0.9901800408376109,0.9893683552220137,0.8250087396258972,0.7863247863247863,108.2,92,5383.8,4746,23.8,25,53.4,51
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27,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'standard_scaling'}",0.9871434682825193,0.9853479853479854,0.8772254950574203,0.8369587456890434,0.8601915470973859,0.79201146554352,0.8498851456211648,0.7686019702368476,0.9108052533200063,0.9570245378117729,0.9933937755480089,0.992501562174547,0.7610572145668317,0.6814159292035398,0.9947154089698568,0.9962366715450554,0.7256676852249151,0.5877862595419847,0.9955988319984066,0.9987424020121568,0.704171459243923,0.5384615384615384,0.9912003368948475,0.9863382322500518,0.8304101697451646,0.927710843373494,113.8,77,5383.8,4765,23.8,6,47.8,66
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28,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'standard_scaling'}",0.9856352216504998,0.9839234839234839,0.8621834548618892,0.8468128932461787,0.8445478827269894,0.8315381150352711,0.834096523063451,0.8221356300375373,0.8982795995583649,0.8759305126029722,0.9926194370380234,0.9917389940395274,0.7317474726857547,0.7018867924528301,0.9940280522006834,0.9930474116267382,0.6950677132532957,0.670028818443804,0.9949701337735546,0.9939216097254244,0.6732229123533471,0.6503496503496503,0.9902836860643168,0.9895659432387313,0.806275513052413,0.7622950819672131,108.8,93,5380.4,4742,27.2,29,52.8,50
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29,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'standard_scaling'}",0.9869639157260973,0.9863654863654864,0.879550626347441,0.8514876808093439,0.870045213129119,0.8088285616516482,0.8642020071527432,0.7860844877193651,0.897702092283037,0.959589157216592,0.9932950376100683,0.9930186516619777,0.7658062150848136,0.70995670995671,0.9940330947590708,0.9964450020911753,0.7460573314991672,0.6212121212121212,0.994526244195832,0.9987424020121568,0.7338777701096542,0.5734265734265734,0.9920693690150953,0.9873601326150021,0.8033348155509786,0.9318181818181818,118.6,82,5378.0,4765,29.6,6,43.0,61
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30,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'standard_scaling'}",0.9854197237657939,0.9829059829059829,0.8621105186516613,0.8388902766502218,0.846693305689033,0.8261528709939931,0.8375860013996403,0.8182199272117527,0.8936165471770329,0.8626752975569012,0.9925054143077741,0.9912133891213389,0.7317156229955486,0.6865671641791045,0.993716351450437,0.9923344363925773,0.6996702599276289,0.6599713055954088,0.994526346791306,0.9930832110668623,0.6806456560079748,0.6433566433566433,0.9904979402930485,0.9893505951138024,0.7967351540610174,0.736,110.0,92,5378.0,4738,29.6,33,51.6,51
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31,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'standard_scaling'}",0.986820269812404,0.9865689865689866,0.877563416771528,0.8530835228353733,0.8666347927365601,0.8093836088798947,0.8599211737232284,0.7861892875516854,0.8984707203871171,0.9649457434116999,0.993222240007103,0.9931235674098771,0.761904593535953,0.7130434782608696,0.994070459172379,0.9966124377901384,0.7391991263007414,0.622154779969651,0.9946372251398856,0.9989520016767973,0.7252051223065716,0.5734265734265734,0.9918136647874025,0.9873627511912161,0.8051277759868316,0.9425287356321839,117.2,82,5378.6,4766,29.0,5,44.4,61
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32,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'standard_scaling'}",0.9860302269584803,0.9847374847374848,0.8651027328460819,0.8512934504156158,0.8461482899592221,0.8312246938922571,0.8348833820094514,0.8191631257026353,0.9038301388756894,0.8912370096735709,0.9928238353193806,0.9921621904065211,0.7373816303727831,0.7104247104247104,0.9943316327358351,0.9938447366217235,0.6979649471826092,0.6686046511627907,0.9953399562587617,0.9949696080486271,0.6744268077601411,0.6433566433566433,0.9903232558576776,0.9893705710712797,0.8173370218937013,0.7931034482758621,109.0,92,5382.4,4747,25.2,24,52.6,51
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33,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'standard_scaling'}",0.9870357419067401,0.9863654863654864,0.8786661233843809,0.8539546788327481,0.8667789278141586,0.8143617723634435,0.8594179708761187,0.7928678950477315,0.9011809877992263,0.9504039456837321,0.9933345981413282,0.9930157406442197,0.7639976486274334,0.7148936170212766,0.9942707099948773,0.9961934242449594,0.7392871456334397,0.6325301204819277,0.9948960598413411,0.9983232026828757,0.7239398819108964,0.5874125874125874,0.9917794881967399,0.9877644131065948,0.8105824874017126,0.9130434782608695,117.0,84,5380.0,4763,27.6,8,44.6,59
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34,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'standard_scaling'}",0.9865330166705728,0.9853479853479854,0.8704343336721141,0.8567033607931763,0.852055150641523,0.8355388633123595,0.8411646823093639,0.8228692288637793,0.9081963631229814,0.8991384074580755,0.993081291115929,0.9924764890282132,0.7477873762282993,0.7209302325581395,0.9945233940238916,0.9942218314282125,0.7095869072591549,0.6768558951965066,0.9954878647337498,0.9953888073779082,0.6868414998849781,0.6503496503496503,0.9906899772878018,0.989581162742238,0.825702748958161,0.808695652173913,111.0,93,5383.2,4749,24.4,22,50.6,50
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35,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'standard_scaling'}",0.9874307923478683,0.9865689865689866,0.8833724692667442,0.8530835228353733,0.8728278631569448,0.8093836088798947,0.8662311089632866,0.7861892875516854,0.9029529252661203,0.9649457434116999,0.9935361451475371,0.9931235674098771,0.7732087933859508,0.7130434782608696,0.9943515316814654,0.9966124377901384,0.751304194632424,0.622154779969651,0.9948960803604358,0.9989520016767973,0.7375661375661376,0.5734265734265734,0.9921809828073729,0.9873627511912161,0.8137248677248676,0.9425287356321839,119.2,82,5380.0,4766,27.6,5,42.4,61
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36,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'standard_scaling'}",0.9857429609214643,0.9839234839234839,0.8650141053127711,0.8479285580818141,0.8498542333542429,0.8341042628974531,0.8407578673160888,0.8255273337017206,0.8953063331916912,0.8739174355175432,0.992672097027782,0.9917372659763624,0.7373561135977603,0.704119850187266,0.993871994366882,0.992921169473067,0.705836472341604,0.6752873563218391,0.9946742347471993,0.9937120100607839,0.6868414998849781,0.6573426573426573,0.990681450194724,0.9897703549060543,0.7999312161886583,0.7580645161290323,111.0,94,5378.8,4741,28.8,30,50.6,49
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37,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'standard_scaling'}",0.9872153009107547,0.9877899877899878,0.8840021491512114,0.8708213212292216,0.8785517766085202,0.8319516140352616,0.8751326963288768,0.8105600121948896,0.8940398080556416,0.9628182304693047,0.9934209104863886,0.9937434827945777,0.7745833878160344,0.7478991596638656,0.9938397106639043,0.996736811278919,0.7632638425531365,0.6671664167916042,0.9941193915842164,0.9987424020121568,0.7561460010735374,0.6223776223776224,0.9927248278719031,0.9887943556754514,0.7953547882393799,0.9368421052631579,122.2,89,5375.8,4765,31.8,6,39.4,54
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38,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'standard_scaling'}",0.9855633761270793,0.9831094831094831,0.8624888276327795,0.8413834487516582,0.846188359313875,0.8292825585548906,0.8364585393424646,0.8217164307082563,0.8953115577195039,0.8638262322472849,0.9925810317523748,0.9913170833769223,0.7323966235131841,0.6914498141263941,0.9938797735534243,0.9923760053619303,0.6984969450743261,0.666189111747851,0.9947482266030339,0.9930832110668623,0.6781688520818955,0.6503496503496503,0.9904269019149098,0.9895572263993316,0.8001962135240982,0.7380952380952381,109.6,93,5379.2,4738,28.4,33,52.0,50
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43,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'standard_scaling'}",0.9869280090833683,0.9855514855514855,0.8733416353384016,0.8399148032946274,0.8540518352792473,0.7953952629034529,0.8425426933169042,0.7720984737333512,0.9124716978233179,0.9575569358178053,0.9932857625110962,0.9926049369857306,0.7533975081657068,0.6872246696035242,0.9948049328325747,0.9962783306849544,0.71329873772592,0.5945121951219512,0.9958207596880222,0.9987424020121568,0.6892646269457863,0.5454545454545454,0.990765918059411,0.9865424430641822,0.8341774775872247,0.9285714285714286,111.4,78,5385.0,4765,22.6,6,50.2,65
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44,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'standard_scaling'}",0.9862097988576801,0.9839234839234839,0.8667386962508832,0.8433624344377819,0.8474929512704872,0.8237478893318506,0.8361964447535432,0.8119605190449877,0.9068725501572557,0.8824078998433256,0.992915992849021,0.9917441738948688,0.7405613996527456,0.694980694980695,0.9944348633360782,0.9934260112218407,0.7005510392048959,0.6540697674418605,0.9954509372028151,0.9945504087193461,0.6769419523042711,0.6293706293706294,0.9903984180691285,0.9889537307211338,0.8233466822453825,0.7758620689655172,109.4,90,5383.0,4745,24.6,26,52.2,53
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45,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'standard_scaling'}",0.9875385187236475,0.9865689865689866,0.8818473760069663,0.8543196878009516,0.8666113884382227,0.8121616449258658,0.8573085650407084,0.7895809912158687,0.911358823985703,0.9600745182511498,0.9935954869318611,0.9931221342225928,0.7700992650820717,0.7155172413793104,0.9947741585846203,0.9964866786565728,0.738448618291825,0.6278366111951589,0.9955618429101876,0.9987424020121568,0.7190552871712291,0.5804195804195804,0.991638608632873,0.9875647668393782,0.831079039338533,0.9325842696629213,116.2,83,5383.6,4765,24.0,6,45.4,60
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46,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'standard_scaling'}",0.9849169533964789,0.9829059829059829,0.857781434054387,0.8365176229040721,0.844304223769899,0.8209688288843962,0.836133326191199,0.8114365198833864,0.8841541341909854,0.8663719301391664,0.9922467381814037,0.9912170639899623,0.7233161299273703,0.6818181818181818,0.9933470205947339,0.992587008418143,0.695261426945064,0.6493506493506493,0.9940824640532819,0.9935024103961434,0.6781841883291158,0.6293706293706294,0.9904205833879198,0.9889422073857709,0.7778876849940513,0.743801652892562,109.6,90,5375.6,4740,32.0,31,52.0,53
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47,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'standard_scaling'}",0.9873589597196328,0.986975986975987,0.8811716945986273,0.8599124452782989,0.8674250110669686,0.8187978416363408,0.8589932970703573,0.7965739982088755,0.9076249537472911,0.9610201119635082,0.9935015709609486,0.9933291640608714,0.7688418182363058,0.7264957264957265,0.9945592266059802,0.9965700422470406,0.7402907955279572,0.6410256410256411,0.9952659438838323,0.9987424020121568,0.7227206502568821,0.5944055944055944,0.9917452330433599,0.9879742898610823,0.8235046744512223,0.9340659340659341,116.8,85,5382.0,4765,25.6,6,44.8,58
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48,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'robust_scaling'}",0.982654512524932,0.9794464794464794,0.8404271891994972,0.8175151805953109,0.8329745957227697,0.8168681204876317,0.8283393664784457,0.8164383300623083,0.8543775057592086,0.8185999905552341,0.9910774933869468,0.9894163261029026,0.6897768850120474,0.6456140350877193,0.9917259815399992,0.9894785378940308,0.6742232099055401,0.6442577030812325,0.9921591409010674,0.9895200167679732,0.6645195920558239,0.6433566433566433,0.9900000029126585,0.9893126571668064,0.7187550086057587,0.647887323943662,107.4,92,5365.2,4721,42.4,50,54.2,51
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49,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'robust_scaling'}",0.9782014634100736,0.9857549857549858,0.8359189878862748,0.8454905779707063,0.8691457018101014,0.8043882221350002,0.8956940508871784,0.7823783845582211,0.793225782868173,0.9486313093089597,0.988712124752085,0.9927052938724469,0.6831258510204649,0.6982758620689655,0.9854471586724532,0.9960684261156887,0.7528442449477495,0.6127080181543116,0.9832828951184253,0.9983232026828757,0.8081052066559312,0.5664335664335665,0.9942038470772385,0.9871502590673575,0.5922477186591077,0.9101123595505618,130.6,81,5317.2,4763,90.4,8,31.0,62
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50,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'robust_scaling'}",0.9834446069595959,0.9798534798534798,0.8473635122196328,0.8211287413756019,0.8391527985232671,0.8204743164871582,0.8341506497363043,0.820039633391132,0.8632678487668674,0.8222258951867112,0.9914842548047833,0.9896259038038353,0.7032427696344824,0.6526315789473685,0.9921769661715769,0.9896881287726358,0.6861286308749573,0.6512605042016807,0.9926399238112331,0.9897296164326137,0.6756613756613756,0.6503496503496503,0.9903343162178494,0.9895222129086337,0.7362013813158851,0.6549295774647887,109.2,93,5367.8,4722,39.8,49,52.4,50
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51,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'robust_scaling'}",0.9790633259970475,0.9855514855514855,0.841153558692153,0.8412798640324161,0.8728679732342892,0.7982282553760953,0.8979457458927058,0.7754901773975343,0.7998293090663922,0.9526743222673937,0.9891615992948537,0.9926033961871028,0.6931455180894525,0.6899563318777293,0.9860938113144261,0.9961525593844095,0.759642135154152,0.6003039513677811,0.9840595770549463,0.9985328023475163,0.8118319147304656,0.5524475524475524,0.9943189059935005,0.9867439933719967,0.605339712139284,0.9186046511627907,131.2,79,5321.4,4764,86.2,7,30.4,64
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52,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'robust_scaling'}",0.9827263838387225,0.9784289784289785,0.8418163921473443,0.8104166666666667,0.8353764587972152,0.8116765397263259,0.8313779980816068,0.8125226272365237,0.8539072570361388,0.8083412267445644,0.991113247427112,0.9888888888888889,0.6925195368675767,0.6319444444444444,0.9916737965384765,0.9887645159937953,0.6790791210559541,0.6345885634588564,0.9920482283539964,0.988681618109411,0.670707767809217,0.6363636363636364,0.9901819171527819,0.9890962465925771,0.7176325969194958,0.6275862068965518,108.4,91,5364.6,4717,43.0,54,53.2,52
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53,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'robust_scaling'}",0.9768008980206858,0.985958485958486,0.8305599513833293,0.8470544772514138,0.8695046414109691,0.8049361241017452,0.9015787132032951,0.7824831843905413,0.7824943622383087,0.953803733564405,0.9879734315034959,0.9928102532041263,0.6731464712631625,0.7012987012987013,0.9840389769345291,0.9962358845671268,0.7549703058874089,0.6136363636363636,0.981433632219028,0.9985328023475163,0.8217237941875621,0.5664335664335665,0.9946023322383573,0.9871529216742644,0.5703863922382604,0.9204545454545454,132.8,81,5307.2,4764,100.4,7,28.8,62
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54,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'robust_scaling'}",0.9831213698039255,0.9792429792429792,0.8447223836724437,0.816333530229988,0.8369491326576923,0.816333530229988,0.8321801864351294,0.816333530229988,0.8595700811750235,0.816333530229988,0.9913175035335252,0.9893104171033327,0.698127263811362,0.6433566433566433,0.9919772121585618,0.9893104171033327,0.6819210531568227,0.6433566433566433,0.9924180371598071,0.9893104171033327,0.6719423357104516,0.6433566433566433,0.9902220513308638,0.9893104171033327,0.7289181110191832,0.6433566433566433,108.6,92,5366.6,4720,41.0,51,53.0,51
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55,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'robust_scaling'}",0.9771599644479748,0.9861619861619861,0.8324678617345456,0.8499051328858289,0.870549413977389,0.8082749335304329,0.9017712959893579,0.7859796878870449,0.7851671959357567,0.9543529137800547,0.9881614220659258,0.9929137140475198,0.6767743014031652,0.7068965517241379,0.9843365833666231,0.9962775523861307,0.756762244588155,0.6202723146747352,0.9818034615439333,0.9985328023475163,0.8217391304347826,0.5734265734265734,0.9946041530837781,0.9873575129533678,0.5757302387877352,0.9213483146067416,132.8,82,5309.2,4764,98.4,7,28.8,61
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56,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'robust_scaling'}",0.9843423439513362,0.9816849816849816,0.8515962672957779,0.834572685379137,0.8376462906674249,0.8304526291168367,0.8292008427523566,0.8277662392103808,0.8790989434369951,0.8416912547807393,0.9919525680686949,0.9905739421868454,0.7112399665228607,0.6785714285714286,0.9931182592966671,0.9909475713507397,0.6821743220381824,0.6699576868829337,0.9938974296961096,0.9911968140850974,0.6645042558086036,0.6643356643356644,0.9900178739811054,0.9899518526271719,0.7681800128928846,0.6934306569343066,107.4,95,5374.6,4729,33.0,42,54.2,48
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57,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'robust_scaling'}",0.9852760585093231,0.9857549857549858,0.8690263252819322,0.844179493916305,0.8680626058102767,0.8015872466872441,0.8675359181449849,0.7789866808940379,0.8710806048279599,0.953244322524878,0.9924184181081515,0.9927068139195666,0.7456342324557129,0.6956521739130435,0.9924846474229035,0.9961942202333653,0.7436405641976499,0.6069802731411229,0.9925290865008431,0.9985328023475163,0.7425427497891267,0.5594405594405595,0.9923091821368931,0.9869484151646986,0.7498520275190266,0.9195402298850575,120.0,80,5367.2,4764,40.4,7,41.6,63
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58,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'robust_scaling'}",0.9852760778521008,0.9806674806674807,0.8588289088157204,0.8247747610795253,0.8425367115336586,0.8201022404248155,0.8326871159186661,0.8170671290562299,0.8910285271242447,0.8328983330460691,0.9924350729673485,0.9900513142737459,0.7252227446640921,0.6594982078853047,0.9937770765750521,0.9904869667253373,0.6912963464922651,0.6497175141242938,0.9946741321517253,0.9907776147558164,0.6707000996856068,0.6433566433566433,0.9902078908716071,0.9893260778568439,0.791849163376882,0.6764705882352942,108.4,92,5378.8,4727,28.8,44,53.2,51
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59,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'robust_scaling'}",0.9848450949778735,0.9851444851444852,0.864924748110117,0.8368088742868502,0.8637435478344082,0.794324313262103,0.863110952164852,0.7718888740687105,0.8675147138883881,0.9467568062272402,0.9921969158992823,0.9923950411501198,0.7376525803209517,0.6812227074235808,0.9922850182278722,0.9959434593509535,0.7352020774409445,0.5927051671732523,0.9923441342200501,0.9983232026828757,0.7338777701096542,0.5454545454545454,0.9920516034399549,0.9865368682684341,0.7429778243368215,0.9069767441860465,118.6,78,5366.2,4763,41.4,8,43.0,65
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60,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'robust_scaling'}",0.9845578482836347,0.9812779812779813,0.8544638250488494,0.8320606603634808,0.8418456097943446,0.8293423228556376,0.8341174922949385,0.8275566395457403,0.878823416125884,0.8367004406945647,0.9920621690653177,0.9903624554787346,0.7168654810323813,0.6737588652482269,0.9931179952045985,0.9906115092837084,0.6905732243840907,0.6680731364275668,0.9938235130769559,0.9907776147558164,0.6744114715129208,0.6643356643356644,0.9903089597867266,0.9899476439790575,0.7673378724650413,0.6834532374100719,109.0,95,5374.2,4727,33.4,44,52.6,48
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61,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'robust_scaling'}",0.9835522624118573,0.985958485958486,0.859819400342022,0.8483357077519362,0.8680366512201619,0.8077227180526358,0.8738491122676122,0.7858748880547246,0.8472910886146134,0.9492330016583748,0.9915194211436823,0.9928087545596664,0.728119379540362,0.703862660944206,0.9907932411435187,0.9961100886732475,0.7452800612968052,0.6193353474320241,0.9903099874368422,0.9983232026828757,0.757388237098382,0.5734265734265734,0.9927332020467304,0.9873548922056384,0.7018489751824966,0.9111111111111111,122.4,82,5355.2,4763,52.4,8,39.2,61
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62,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'robust_scaling'}",0.9849169533964789,0.9812779812779813,0.8568370718580118,0.8285175879396984,0.8424930432630889,0.8217366302472686,0.8337112822546443,0.8173815285531907,0.8845398308062051,0.8405310494391176,0.9922484245557757,0.9903685092127303,0.721425719160248,0.6666666666666666,0.993436457225814,0.990990990990991,0.6915496293003638,0.6524822695035462,0.9942303246503819,0.991406413749738,0.6731922398589065,0.6433566433566433,0.9902757144574993,0.9893327755699645,0.7788039471549112,0.6917293233082706,108.8,92,5376.4,4730,31.2,41,52.8,51
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63,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'robust_scaling'}",0.9838036669392924,0.9861619861619861,0.8604389160803467,0.8499051328858289,0.866624624741457,0.8082749335304329,0.8709884337468516,0.7859796878870449,0.8509751031181848,0.9543529137800547,0.9916519798387302,0.9929137140475198,0.7292258523219634,0.7068965517241379,0.9911127080258915,0.9962775523861307,0.7421365414570225,0.6202723146747352,0.9907538017778839,0.9985328023475163,0.7512230657158193,0.5734265734265734,0.9925532094702245,0.9873575129533678,0.7093969967661451,0.9213483146067416,121.4,82,5357.6,4764,50.0,7,40.2,61
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64,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'robust_scaling'}",0.9851683385811363,0.9812779812779813,0.8591179961982995,0.8273020510383544,0.8445197440278023,0.8191718080178915,0.8356447838263932,0.8139898248890074,0.8877174472607932,0.8418923253954448,0.9923776876435134,0.990370525434373,0.7258583047530854,0.6642335766423357,0.993576841426931,0.99111744249382,0.6954626466286732,0.647226173541963,0.9943782878429562,0.9916160134143785,0.6769112798098305,0.6363636363636364,0.9903870939919786,0.9891281622412712,0.7850478005296078,0.6946564885496184,109.4,91,5377.2,4731,30.4,40,52.2,52
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65,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'robust_scaling'}",0.9853837719899172,0.9863654863654864,0.8725280542968576,0.8502218435235476,0.8759525471290383,0.8060361396040803,0.8783811337989637,0.7826927840551818,0.8673464341461543,0.9645093543477004,0.9924692639993612,0.9930201062610688,0.752586844594354,0.7074235807860262,0.9921720610102851,0.9965707594513216,0.7597330332477916,0.6155015197568389,0.9919742912157481,0.9989520016767973,0.7647879763821793,0.5664335664335665,0.9929660693106076,0.9871582435791217,0.7417267989817009,0.9418604651162791,123.6,81,5364.2,4766,43.4,5,38.0,62
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66,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'robust_scaling'}",0.9850964995053084,0.9831094831094831,0.8576525200541152,0.842521101783164,0.842063047060007,0.8318391286133222,0.832594650037817,0.8251081343724396,0.8882257267855923,0.8620684026326786,0.9923419932250359,0.9913152662969551,0.7229630468831946,0.6937269372693727,0.993629004874472,0.9922496857980729,0.6904970892455421,0.6714285714285714,0.994489200390027,0.9928736114022217,0.670700099685607,0.6573426573426573,0.9902056750746582,0.9897618052653573,0.7862457784965265,0.734375,108.4,94,5377.8,4737,29.8,34,53.2,49
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67,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'robust_scaling'}",0.9852042000907175,0.9861619861619861,0.8730358853177561,0.8499051328858289,0.8803921292499022,0.8082749335304329,0.8854856737602657,0.7859796878870449,0.8614778517514337,0.9543529137800547,0.9923730027905566,0.9929137140475198,0.7536987678449553,0.7068965517241379,0.9917562570094823,0.9962775523861307,0.7690280014903218,0.6202723146747352,0.9913455519527066,0.9985328023475163,0.7796257955678245,0.5734265734265734,0.9934027519900305,0.9873575129533678,0.7295529515128367,0.9213483146067416,126.0,82,5360.8,4764,46.8,7,35.6,61
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68,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'robust_scaling'}",0.9847014941973278,0.9812779812779813,0.8557353238012355,0.8297156201740179,0.842765198755447,0.824286573148787,0.8347978938030028,0.8207732322173739,0.8806089029482849,0.839213224523959,0.9921361681250811,0.9903664921465969,0.7193344794773899,0.6690647482014388,0.9932141454457468,0.9908645182919164,0.6923162520651469,0.6577086280056577,0.9939344119446302,0.9911968140850974,0.6756613756613756,0.6503496503496503,0.9903459676116533,0.989537560159029,0.7708718382849167,0.6888888888888889,109.2,93,5374.8,4729,32.8,42,52.4,50
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69,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'robust_scaling'}",0.9842704855327307,0.9863654863654864,0.8671555742255741,0.8527317741939091,0.8776116210780414,0.8116037206067368,0.885004873750854,0.7894761913835484,0.8512211535369596,0.9548922056384743,0.9918874487567392,0.9930171964564878,0.7424236996944087,0.7124463519313304,0.9909847148856322,0.9963192236908148,0.7642385272704508,0.6268882175226587,0.9903839519338836,0.9985328023475163,0.7796257955678245,0.5804195804195804,0.993396261073106,0.9875621890547264,0.7090460460008134,0.9222222222222223,126.0,83,5355.6,4764,52.0,7,35.6,60
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70,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'robust_scaling'}",0.9845219287457209,0.9808709808709809,0.8548607402256367,0.8235477478000577,0.8431495700912798,0.8155108731107743,0.835910688538176,0.8103885215601837,0.8770858837367401,0.8379709946007887,0.9920426007517154,0.9901611890307724,0.7176788796995579,0.656934306569343,0.9930215423583247,0.9909079482130138,0.6932775978242349,0.6401137980085349,0.9936755293652869,0.991406413749738,0.678145847711065,0.6293706293706294,0.9904164429838973,0.9889190884382187,0.7637553244895826,0.6870229007633588,109.6,90,5373.4,4730,34.2,41,52.0,53
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71,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'robust_scaling'}",0.9852760262713604,0.9865689865689866,0.8752596174245599,0.8567291245529467,0.8847507536162851,0.8176664208104449,0.8915297682607773,0.796364398544235,0.860991885008248,0.9509738977992787,0.9924066586867115,0.9931192660550459,0.7581125761624083,0.7203389830508474,0.9915918132668311,0.9962350972599875,0.777909693965739,0.6390977443609023,0.991049721323334,0.9983232026828757,0.792009815198221,0.5944055944055944,0.99376931115138,0.9879693009749014,0.7282144588651158,0.9139784946236559,128.0,85,5359.2,4763,48.4,8,33.6,58
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72,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'robust_scaling'}",0.9853838106754724,0.9833129833129833,0.8587022547988894,0.8415768557557877,0.8406382408501287,0.8272703303325926,0.8297448116169523,0.8184295268763934,0.8945555549776092,0.8686612601880559,0.9924922730441008,0.9914243882033047,0.7249122365536782,0.6917293233082706,0.9939773059542493,0.9926701570680628,0.6872991757460081,0.6618705035971223,0.9949700311780806,0.9935024103961434,0.6645195920558239,0.6433566433566433,0.9900279680622888,0.989355040701315,0.7990831418929297,0.7479674796747967,107.4,92,5380.4,4740,27.2,31,54.2,51
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73,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'robust_scaling'}",0.9874667247809672,0.9865689865689866,0.8808944679765357,0.8530835228353733,0.8654268421316349,0.8093836088798947,0.8560356633611214,0.7861892875516854,0.911259487188576,0.9649457434116999,0.9935589253362499,0.9931235674098771,0.7682300106168213,0.7130434782608696,0.994759451265719,0.9966124377901384,0.736094232997551,0.622154779969651,0.9955618565895842,0.9989520016767973,0.7165094701326586,0.5734265734265734,0.9915662202419405,0.9873627511912161,0.8309527541352113,0.9425287356321839,115.8,82,5383.6,4766,24.0,5,45.8,61
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74,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'robust_scaling'}",0.9856351700697598,0.9829059829059829,0.861594553268447,0.8377128766278801,0.8440630937039144,0.8235684959885494,0.833470833667023,0.8148282235475697,0.896280376162564,0.8644918571915838,0.9926206592873459,0.9912152269399708,0.7305684472495483,0.6842105263157895,0.9940509272401421,0.9924607329842932,0.6940752601676868,0.6546762589928058,0.9950069997472047,0.9932928107315029,0.6719346675868414,0.6363636363636364,0.9902470619918973,0.9891463160091839,0.8023136903332307,0.7398373983739838,108.6,91,5380.6,4739,27.0,32,53.0,52
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75,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'robust_scaling'}",0.9876821388469705,0.9863654863654864,0.8824481257185894,0.8527317741939091,0.8657090989204775,0.8116037206067368,0.8555593092061944,0.7894761913835484,0.9153499265289049,0.9548922056384743,0.9936704416866011,0.9930171964564878,0.7712258097505776,0.7124463519313304,0.9949592647185364,0.9963192236908148,0.7364589331224185,0.6268882175226587,0.9958207118101343,0.9985328023475163,0.7152979066022545,0.5804195804195804,0.9915312796956883,0.9875621890547264,0.8391685733621216,0.9222222222222223,115.6,83,5385.0,4764,22.6,7,46.0,60
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76,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'robust_scaling'}",0.9851324190432222,0.9833129833129833,0.8584062804905994,0.84385854781335,0.8434541223782931,0.8324033525694168,0.8344095162212989,0.8252129342047598,0.8879972785848785,0.8649607121650007,0.9923597171974384,0.9914207993304038,0.7244528437837602,0.6962962962962963,0.9935917185938852,0.992417577814084,0.693316526162701,0.6723891273247496,0.9944152290532873,0.9930832110668623,0.6744038033893106,0.6573426573426573,0.990315033423508,0.9897639440150408,0.7856795237462493,0.7401574803149606,109.0,94,5377.4,4738,30.2,33,52.6,49
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77,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'robust_scaling'}",0.9870357225639627,0.9865689865689866,0.8798050558534396,0.8567291245529467,0.8698662779881701,0.8176664208104449,0.8636401794756614,0.796364398544235,0.8982100252815538,0.9509738977992787,0.9933328198400833,0.9931192660550459,0.7662772918667957,0.7203389830508474,0.9941148806201131,0.9962350972599875,0.745617675356227,0.6390977443609023,0.9946371567429029,0.9983232026828757,0.7326432022084196,0.5944055944055944,0.9920329803869183,0.9879693009749014,0.8043870701761892,0.9139784946236559,118.4,85,5378.6,4763,29.0,8,43.2,58
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78,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'robust_scaling'}",0.985527475931943,0.9824989824989825,0.861442572251889,0.8385649607532444,0.8451410509401756,0.830154612739243,0.8352270579212874,0.8247937348754787,0.893287438450975,0.8536563177794128,0.9925640208925245,0.9909985346451748,0.7303211236112532,0.6861313868613139,0.9938953165563065,0.9917459253362383,0.6963867853240447,0.6685633001422475,0.9947850720575893,0.9922448124083001,0.6756690437849857,0.6573426573426573,0.9903540470495413,0.9897553836504286,0.7962208298524088,0.7175572519083969,109.2,94,5379.4,4734,28.2,37,52.4,49
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79,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'robust_scaling'}",0.9869280026357758,0.9865689865689866,0.8787019179213326,0.8530835228353733,0.8682252121041018,0.8093836088798947,0.8617730118956839,0.7861892875516854,0.8986740607495708,0.9649457434116999,0.993277425306436,0.9931235674098771,0.7641264105362291,0.7130434782608696,0.9940925687027711,0.9966124377901384,0.7423578555054322,0.622154779969651,0.9946371977810925,0.9989520016767973,0.7289088260102753,0.5734265734265734,0.9919236322843235,0.9873627511912161,0.8054244892148184,0.9425287356321839,117.8,82,5378.6,4766,29.0,5,43.8,61
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80,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'robust_scaling'}",0.9863534576665582,0.9831094831094831,0.8674259262522324,0.8402287382378553,0.8479481142920413,0.8267109219956497,0.8362511979033694,0.8183247270440731,0.9064151642130923,0.8656441511212876,0.992991297454395,0.9913188996966844,0.74186055505007,0.6891385767790262,0.9945540101913807,0.9925023037614141,0.7013422183927017,0.6609195402298851,0.9955987841205187,0.9932928107315029,0.6769036116862204,0.6433566433566433,0.9903985652830037,0.9893528183716075,0.8224317631431811,0.7419354838709677,109.4,92,5383.8,4739,23.8,32,52.2,51
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81,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'robust_scaling'}",0.9871075487446055,0.9867724867724867,0.8790069366852771,0.8583142406586364,0.866173804471608,0.818231408861414,0.8582459063246997,0.7964691983765553,0.9033657949355869,0.9559424197067787,0.9933720613553818,0.9932242259981237,0.7646418120151725,0.723404255319149,0.9943744210297952,0.9964025767589726,0.7379731879134208,0.6400602409638554,0.9950440709118029,0.9985328023475163,0.7214477417375968,0.5944055944055944,0.9917070764292699,0.9879717959352966,0.8150245134419036,0.9239130434782609,116.6,85,5380.8,4764,26.8,7,45.0,58
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82,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'robust_scaling'}",0.9862815928003602,0.9837199837199837,0.8672655258524721,0.8443024980038782,0.848994568796488,0.8283932426412637,0.8380105701949757,0.8186391265410339,0.9038070075160807,0.8748450305455787,0.9929535279033799,0.9916352990380594,0.7415775238015643,0.696969696969697,0.9944280443607486,0.9930058215018637,0.7035610932322273,0.6637806637806638,0.9954138250000273,0.9939216097254244,0.6806073153899241,0.6433566433566433,0.9905070103243874,0.9893594825787607,0.8171070047077738,0.7603305785123967,110.0,92,5382.8,4742,24.8,29,51.6,51
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83,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'robust_scaling'}",0.9878616914033926,0.9863654863654864,0.8882433872015938,0.8539546788327481,0.8792732315001988,0.8143617723634435,0.8736615139018262,0.7928678950477315,0.9048913645687214,0.9504039456837321,0.993756270186615,0.9930157406442197,0.7827305042165724,0.7148936170212766,0.9944396638423738,0.9961934242449594,0.7641067991580239,0.6325301204819277,0.9948960666810391,0.9983232026828757,0.7524269611226133,0.5874125874125874,0.9926204964822525,0.9877644131065948,0.8171622326551903,0.9130434782608695,121.6,84,5380.0,4763,27.6,8,40.0,59
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84,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'robust_scaling'}",0.9859943138681591,0.9829059829059829,0.8649774102836663,0.8411930908822298,0.8473115871981978,0.8312762678885206,0.8366573908444179,0.8250033345401193,0.9001315205110121,0.859220918082185,0.9928052425916853,0.9912097111762244,0.7371495779756474,0.6911764705882353,0.9942356983744481,0.9920817797142737,0.7003874760219477,0.6704707560627675,0.9951919383486014,0.9926640117375812,0.6781228433402346,0.6573426573426573,0.9904314967884258,0.9897596656217346,0.8098315442335986,0.7286821705426356,109.6,94,5381.6,4736,26.0,35,52.0,49
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85,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'robust_scaling'}",0.9867843889600453,0.9873829873829874,0.8785119111214078,0.8642901813633521,0.8700226297866667,0.8226731525839097,0.8647044966165968,0.8001753015376993,0.8942347767857424,0.9666182873730043,0.9932018270737839,0.9935376276839691,0.7638219951690315,0.7350427350427351,0.9938628685047399,0.996779186012465,0.7461823910685934,0.6485671191553545,0.9943043233459147,0.9989520016767973,0.7351046698872786,0.6013986013986014,0.9921031218224202,0.9881816296910636,0.7963664317490646,0.945054945054945,118.8,86,5376.8,4766,30.8,5,42.8,57
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86,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'robust_scaling'}",0.9853838106754724,0.9816849816849816,0.8608320644828911,0.8286252354048964,0.8460195719166173,0.8176782825713964,0.8369418071995559,0.8108077208894647,0.889377571584087,0.84879488246547,0.9924890562531894,0.9905838041431262,0.7291750727125927,0.6666666666666666,0.9937102146304163,0.9915797411084579,0.6983289292028184,0.6437768240343348,0.9945262031576426,0.9922448124083001,0.6793574112414691,0.6293706293706294,0.9904612858624674,0.9889283476081053,0.7882938573057066,0.7086614173228346,109.8,90,5378.0,4734,29.6,37,51.8,53
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87,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'robust_scaling'}",0.987323053076904,0.986975986975987,0.884598514469672,0.8610706662331604,0.8787856640754045,0.8215303999383525,0.8751728471338343,0.7999657018730588,0.8954908545017657,0.9564539548079303,0.9934769475740686,0.9933277731442869,0.775720081365275,0.7288135593220338,0.993928642865467,0.9964442585233215,0.7636426852853422,0.6466165413533834,0.9942303656885716,0.9985328023475163,0.7561153285790967,0.6013986013986014,0.9927264837778942,0.9881767268201618,0.7982552252256373,0.9247311827956989,122.2,86,5376.4,4764,31.2,7,39.4,57
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88,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'robust_scaling'}",0.9862816121431379,0.9839234839234839,0.8660646344104338,0.8433624344377819,0.8458825049631292,0.8237478893318506,0.8338075284846095,0.8119605190449877,0.9067069512881453,0.8824078998433256,0.9929553768455538,0.9917441738948688,0.7391738919753138,0.694980694980695,0.9945838653873544,0.9934260112218407,0.6971811445389042,0.6540697674418605,0.995672721258767,0.9945504087193461,0.6719423357104516,0.6293706293706294,0.9902539371851116,0.9889537307211338,0.8231599653911792,0.7758620689655172,108.6,90,5384.2,4745,23.4,26,53.0,53
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89,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'robust_scaling'}",0.9878976302840842,0.9857549857549858,0.8820709100771731,0.8454905779707063,0.8606902149712283,0.8043882221350002,0.8478629619375315,0.7823783845582211,0.9248508322510147,0.9486313093089597,0.9937849687886153,0.9927052938724469,0.7703568513657307,0.6982758620689655,0.9954261494332506,0.9960684261156887,0.7259542805092061,0.6127080181543116,0.9965234087305191,0.9983232026828757,0.6992025151445442,0.5664335664335665,0.9910621488085394,0.9871502590673575,0.8586395156934901,0.9101123595505618,113.0,81,5388.8,4763,18.8,8,48.6,62
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90,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'robust_scaling'}",0.9864252902947935,0.9841269841269841,0.8680539850900562,0.8459239130434782,0.8485229087228111,0.8269224843623216,0.8368831320767439,0.8154570225414912,0.9078245542283788,0.8834688346883469,0.9930281395674434,0.9918478260869565,0.7430798306126688,0.7,0.9945908062669877,0.9934676102340773,0.7024550111786347,0.660377358490566,0.9956357526896429,0.9945504087193461,0.6781305114638447,0.6363636363636364,0.9904362833931349,0.989159891598916,0.8252128250636227,0.7777777777777778,109.6,91,5384.0,4745,23.6,26,52.0,52
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91,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'robust_scaling'}",0.9877180777276621,0.9863654863654864,0.8816788103460759,0.8502218435235476,0.8635452070705993,0.8060361396040803,0.8525685204705444,0.7826927840551818,0.9174187901108943,0.9645093543477004,0.9936906624647277,0.9930201062610688,0.7696669582274238,0.7074235807860262,0.99510035731344,0.9965707594513216,0.7319900568277584,0.6155015197568389,0.9960426463394482,0.9989520016767973,0.709094394601641,0.5664335664335665,0.9913510840375738,0.9871582435791217,0.8434864961842148,0.9418604651162791,114.6,81,5386.2,4766,21.4,5,47.0,62
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92,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'robust_scaling'}",0.9863893191761395,0.9843304843304843,0.8680289210749411,0.8528497054684058,0.8492896024182404,0.8403417198314602,0.8380507209999329,0.8325203406947277,0.9057032439439222,0.8760442773600667,0.9930092469363638,0.9919447640966629,0.7430485952135186,0.7137546468401487,0.9945168387330938,0.9930043565683646,0.7040623661033872,0.6876790830945558,0.9955247991043825,0.9937120100607839,0.6805766428954835,0.6713286713286714,0.9905081161865528,0.9901837928153717,0.8208983717012914,0.7619047619047619,110.0,96,5383.4,4741,24.2,30,51.6,47
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93,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'robust_scaling'}",0.9878257976558489,0.985958485958486,0.8842208310702262,0.8444242454553421,0.8679280717325744,0.7993107797861034,0.8580322619712228,0.7756997770621749,0.9161820659574579,0.9636128364389234,0.993743636055135,0.9928132486199355,0.7746980260853175,0.6960352422907489,0.994988594249785,0.9964874132307435,0.7408675492153639,0.6021341463414634,0.9958206776116431,0.9989520016767973,0.720243846330803,0.5524475524475524,0.9916771024774368,0.9867494824016563,0.8406870294374788,0.9404761904761905,116.4,79,5385.0,4766,22.6,5,45.2,64
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94,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'robust_scaling'}",0.9858147806545144,0.9835164835164835,0.8633515313617762,0.8417734174221208,0.8458983725899957,0.8252393428637965,0.8353750176940125,0.8151426230445304,0.8980425588895626,0.8737432206925323,0.9927128498824601,0.9915316257187663,0.7339902128410922,0.6920152091254753,0.9941321802199491,0.9929642348605411,0.6976645649600421,0.6575144508670521,0.9950809916030391,0.9939216097254244,0.6756690437849857,0.6363636363636364,0.9903576015580366,0.9891531080517313,0.8057275162210887,0.7583333333333333,109.2,91,5381.0,4742,26.6,29,52.4,52
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95,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'robust_scaling'}",0.9872871270913974,0.986975986975987,0.8800631804638407,0.8599124452782989,0.8659171596888884,0.8187978416363408,0.8571752725899859,0.7965739982088755,0.9068781945378499,0.9610201119635082,0.9934654543252088,0.9933291640608714,0.7666609066024727,0.7264957264957265,0.9945670141824963,0.9965700422470406,0.7372673051952805,0.6410256410256411,0.995302926132353,0.9987424020121568,0.719047619047619,0.5944055944055944,0.9916356488755037,0.9879742898610823,0.8221207402001959,0.9340659340659341,116.2,85,5382.2,4765,25.4,6,45.4,58
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96,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'minmax_scaling'}",0.9849529696482806,0.9837199837199837,0.8594042495202323,0.8454408348836953,0.8483534317802419,0.8309721646766357,0.841560102542602,0.8220308302052171,0.8805834053942547,0.872830663184528,0.9922633264979815,0.9916335494666387,0.7265451725424832,0.6992481203007519,0.9931764562837204,0.9928795811518325,0.7035304072767634,0.6690647482014388,0.9937865650269266,0.9937120100607839,0.6893336400582777,0.6503496503496503,0.9907468388274416,0.989563765393446,0.7704199719610678,0.7560975609756098,111.4,93,5374.0,4741,33.6,30,50.2,50
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97,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'minmax_scaling'}",0.9778782327019959,0.9863654863654864,0.8350197757476673,0.8527317741939091,0.8698531015814683,0.8116037206067368,0.8979419723832882,0.7894761913835484,0.790794567017687,0.9548922056384743,0.9885408167984646,0.9930171964564878,0.6814987346968698,0.7124463519313304,0.985089308059325,0.9963192236908148,0.7546168951036119,0.6268882175226587,0.982802125887656,0.9985328023475163,0.8130818188789203,0.5804195804195804,0.9943493208522503,0.9875621890547264,0.5872398131831238,0.9222222222222223,131.4,83,5314.6,4764,93.0,7,30.2,60
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98,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'minmax_scaling'}",0.9844142797410518,0.9837199837199837,0.8556810116213459,0.8454408348836953,0.8467726219122605,0.8309721646766357,0.8412827049000546,0.8220308302052171,0.8726529608870319,0.872830663184528,0.9919842149544934,0.9916335494666387,0.7193778082881983,0.6992481203007519,0.992732101874178,0.9928795811518325,0.700813141950343,0.6690647482014388,0.9932317697418315,0.9937120100607839,0.6893336400582778,0.6503496503496503,0.9907420235310689,0.989563765393446,0.754563898242995,0.7560975609756098,111.4,93,5371.0,4741,36.6,30,50.2,50
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99,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'minmax_scaling'}",0.9784168968188546,0.9855514855514855,0.8365194719672171,0.8412798640324161,0.8685877485291,0.7982282553760953,0.8940047782521663,0.7754901773975343,0.7949030409312786,0.9526743222673937,0.9888263988166299,0.9926033961871028,0.6842125451178046,0.6899563318777293,0.9856932214385008,0.9961525593844095,0.7514822756196992,0.6003039513677811,0.9836157216757151,0.9985328023475163,0.8043938348286176,0.5524475524475524,0.9940940066159332,0.9867439933719967,0.5957120752466241,0.9186046511627907,130.0,79,5319.0,4764,88.6,7,31.6,64
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100,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'minmax_scaling'}",0.984306559812865,0.9827024827024827,0.8559248759596414,0.836378828315876,0.8487277440374303,0.8230142515447478,0.8442212127583039,0.8147234237152493,0.8692349807209588,0.8615075089231599,0.9919268868035575,0.9911097165568455,0.7199228651157252,0.6816479400749064,0.9925318995838441,0.9922928709055877,0.7049235884910162,0.6537356321839081,0.9929359459521571,0.9930832110668623,0.6955064795644507,0.6363636363636364,0.9909213407706596,0.9891440501043841,0.7475486206712582,0.7338709677419355,112.4,91,5369.4,4738,38.2,33,49.2,52
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101,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'minmax_scaling'}",0.9764776350746454,0.9861619861619861,0.8276216350548902,0.8499051328858289,0.8651709670496952,0.8082749335304329,0.8960001669563056,0.7859796878870449,0.7810472290627162,0.9543529137800547,0.9878072033286456,0.9929137140475198,0.6674360667811348,0.7068965517241379,0.9839728921867813,0.9962775523861307,0.746369041912609,0.6202723146747352,0.9814336595778208,0.9985328023475163,0.8105666743347903,0.5734265734265734,0.9942665659958699,0.9873575129533678,0.5678278921295625,0.9213483146067416,131.0,82,5307.2,4764,100.4,7,30.6,61
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102,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'minmax_scaling'}",0.9842347336322224,0.9831094831094831,0.8561471866417026,0.842521101783164,0.8502680778441979,0.8318391286133222,0.846594707283789,0.8251081343724396,0.8670501051010182,0.8620684026326786,0.9918884395451671,0.9913152662969551,0.720405933738238,0.6937269372693727,0.9923834135783005,0.9922496857980729,0.7081527421100954,0.6714285714285714,0.9927139909037486,0.9928736114022217,0.7004754236638295,0.6573426573426573,0.9910658537647798,0.9897618052653573,0.7430343564372566,0.734375,113.2,94,5368.2,4737,39.4,34,48.4,49
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103,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'minmax_scaling'}",0.9773754816754584,0.9857549857549858,0.8338088988641548,0.8454905779707063,0.8719046413641168,0.8043882221350002,0.9030798489067287,0.7823783845582211,0.786403231099035,0.9486313093089597,0.9882738719118173,0.9927052938724469,0.6793439258164924,0.6982758620689655,0.9844705208627319,0.9960684261156887,0.7593387618655016,0.6127080181543116,0.9819514315762057,0.9983232026828757,0.8242082662372517,0.5664335664335665,0.9946795847839335,0.9871502590673575,0.5781268774141367,0.9101123595505618,133.2,81,5310.0,4763,97.6,8,28.4,62
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104,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'minmax_scaling'}",0.9855275533030532,0.9837199837199837,0.8620473152027145,0.8443024980038782,0.8469072502205531,0.8283932426412637,0.837652932499798,0.8186391265410339,0.8913633732693429,0.8748450305455787,0.992563146348559,0.9916352990380594,0.7315314840568701,0.696969696969697,0.9938063944856144,0.9930058215018637,0.7000081059554918,0.6637806637806638,0.9946372046207905,0.9939216097254244,0.6806686603788054,0.6433566433566433,0.9904989369385204,0.9893594825787607,0.7922278096001655,0.7603305785123967,110.0,92,5378.6,4742,29.0,29,51.6,51
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105,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'minmax_scaling'}",0.9847014426165878,0.9863654863654864,0.8632079102851252,0.8527317741939091,0.8612717703342152,0.8116037206067368,0.8600276838689567,0.7894761913835484,0.86662453445884,0.9548922056384743,0.9921239280877264,0.9930171964564878,0.7342918924825239,0.7124463519313304,0.9922781686451534,0.9963192236908148,0.730265372023277,0.6268882175226587,0.9923811096288725,0.9985328023475163,0.7276742581090407,0.5804195804195804,0.9918673160893929,0.9875621890547264,0.7413817528282872,0.9222222222222223,117.6,83,5366.4,4764,41.2,7,44.0,60
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106,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'minmax_scaling'}",0.985168448190209,0.9849409849409849,0.8593919425146102,0.8549107605977276,0.8454002284319145,0.8369669345371191,0.836873048813246,0.8260513328633219,0.886667818898389,0.8898484941421825,0.9923773235653067,0.9922642692870584,0.7264065614639134,0.7175572519083969,0.9935323970335972,0.9937602077138908,0.697268059830232,0.6801736613603473,0.9943043370253113,0.9947600083839866,0.6794417606011809,0.6573426573426573,0.9904597230352182,0.9897810218978103,0.7828759147615595,0.7899159663865546,109.8,94,5376.8,4746,30.8,25,51.8,49
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107,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'minmax_scaling'}",0.9851683450287287,0.9853479853479854,0.867078731383568,0.8383552631578948,0.8647195853985246,0.7948591039779475,0.8632888847281579,0.7719936739010309,0.871587954768321,0.9520933575335291,0.9923646861628213,0.9925,0.741792776604315,0.6842105263157895,0.9925518659028729,0.9961109020198219,0.7368873048941765,0.593607305936073,0.9926769949758313,0.9985328023475163,0.7339007744804846,0.5454545454545454,0.9920540899148221,0.9865396562435287,0.7511218196218196,0.9176470588235294,118.6,78,5368.0,4764,39.6,7,43.0,65
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108,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'minmax_scaling'}",0.9850607089192449,0.9839234839234839,0.8607782809562249,0.8456802466215746,0.8504002566461626,0.8289567585128061,0.8440145778627667,0.8187439263733541,0.8806303642311141,0.8780141843971632,0.9923181157504943,0.9917407213800313,0.7292384461619557,0.6996197718631179,0.9931762343075448,0.9931736326325488,0.7076242789847803,0.6647398843930635,0.9937495759387076,0.9941312093900649,0.6942795797868262,0.6433566433566433,0.9908929438821478,0.9893617021276596,0.7703677845800805,0.7666666666666667,112.2,92,5373.8,4743,33.8,28,49.4,51
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109,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'minmax_scaling'}",0.983911373972294,0.985958485958486,0.8611094302735921,0.8470544772514138,0.8665800232613059,0.8049361241017452,0.8704297780460554,0.7824831843905413,0.852701789714932,0.953803733564405,0.9917079857709886,0.9928102532041263,0.7305108747761956,0.7012987012987013,0.9912239163984287,0.9962358845671268,0.7419361301241829,0.6136363636363636,0.9909017307719667,0.9985328023475163,0.7499578253201442,0.5664335664335665,0.9925168864014176,0.9871529216742644,0.7128866930284468,0.9204545454545454,121.2,81,5358.4,4764,49.2,7,40.4,62
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110,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'minmax_scaling'}",0.9852761552232108,0.9837199837199837,0.8615575717835842,0.8443024980038782,0.8493085114368366,0.8283932426412637,0.8417265260807945,0.8186391265410339,0.8847456711087387,0.8748450305455787,0.9924310057554789,0.9916352990380594,0.7306841378116896,0.696969696969697,0.9934432187360505,0.9930058215018637,0.7051738041376228,0.6637806637806638,0.9941194121033112,0.9939216097254244,0.6893336400582777,0.6433566433566433,0.9907494973147154,0.9893594825787607,0.7787418449027623,0.7603305785123967,111.4,92,5375.8,4742,31.8,29,50.2,51
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111,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'minmax_scaling'}",0.9840191196908508,0.985958485958486,0.8623784424245361,0.8470544772514138,0.8681564572770248,0.8049361241017452,0.8722969798245241,0.7824831843905413,0.8537251150824705,0.953803733564405,0.991762740487338,0.9928102532041263,0.7329941443617344,0.7012987012987013,0.9912456976371468,0.9962358845671268,0.745067216916903,0.6136363636363636,0.9909017581307598,0.9985328023475163,0.7536922015182885,0.5664335664335665,0.992627518268583,0.9871529216742644,0.7148227118963583,0.9204545454545454,121.8,81,5358.4,4764,49.2,7,39.8,62
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112,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'minmax_scaling'}",0.9856353054692025,0.9845339845339846,0.8639469564588558,0.8509894298030716,0.8495130369944661,0.8332442950284384,0.8407023802639111,0.8224500295344982,0.8919811370115468,0.8855425381831565,0.9926171004675945,0.9920551954840059,0.735276812450117,0.7099236641221374,0.9937836747691196,0.9935508187110013,0.7052423992198127,0.6729377713458755,0.994563260642844,0.9945504087193461,0.6868414998849781,0.6503496503496503,0.9906802485938806,0.9895724713242962,0.793282025429213,0.7815126050420168,111.0,93,5378.2,4745,29.4,26,50.6,50
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113,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'minmax_scaling'}",0.9853838106754722,0.986975986975987,0.8733124918711163,0.8610706662331604,0.8784003041284766,0.8215303999383525,0.8819930850050746,0.7999657018730588,0.8655593445156782,0.9564539548079303,0.9924678438879686,0.9933277731442869,0.7541571398542637,0.7288135593220338,0.9920383137010556,0.9964442585233215,0.7647622945558975,0.6466165413533834,0.9917524456025116,0.9985328023475163,0.7722337244076375,0.6013986013986014,0.9931856752223067,0.9881767268201618,0.7379330138090495,0.9247311827956989,124.8,86,5363.0,4764,44.6,7,36.8,57
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114,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'minmax_scaling'}",0.9858866455207125,0.9855514855514855,0.86642109705816,0.8592244663934496,0.852775895592992,0.8387014984526635,0.8444360704375921,0.8263657323602828,0.8928713419235825,0.9000661195038162,0.99274610623247,0.9925802069181733,0.7400960878838498,0.7258687258687259,0.9938575175592173,0.9942634620216062,0.7116942736267668,0.6831395348837209,0.9946002292119683,0.9953888073779082,0.694271911663216,0.6573426573426573,0.9909007989385641,0.9897874114214256,0.794841884908601,0.8103448275862069,112.2,94,5378.4,4749,29.2,22,49.4,49
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115,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'minmax_scaling'}",0.985707002697995,0.9863654863654864,0.8764945257732805,0.8527317741939091,0.8819498551934156,0.8116037206067368,0.8857522347227663,0.7894761913835484,0.8680036554953914,0.9548922056384743,0.9926337256816595,0.9930171964564878,0.7603553258649012,0.7124463519313304,0.9921712477839542,0.9963192236908148,0.7717284626028772,0.6268882175226587,0.9918633376304878,0.9985328023475163,0.7796411318150448,0.5804195804195804,0.9934061609926447,0.9875621890547264,0.7426011499981378,0.9222222222222223,126.0,83,5363.6,4764,44.0,7,35.6,60
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116,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'minmax_scaling'}",0.9852401969997417,0.9841269841269841,0.8621004416701048,0.8459239130434782,0.8510085716363234,0.8269224843623216,0.8441108607061754,0.8154570225414912,0.8829127630207729,0.8834688346883469,0.9924111256733328,0.9918478260869565,0.7317897576668769,0.7,0.9933244315811798,0.9934676102340773,0.7086927116914671,0.660377358490566,0.9939344735019147,0.9945504087193461,0.6942872479104364,0.6363636363636364,0.9908936143681959,0.989159891598916,0.7749319116733497,0.7777777777777778,112.2,91,5374.8,4745,32.8,26,49.4,52
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117,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'minmax_scaling'}",0.9842345917851867,0.9863654863654864,0.8671363309299874,0.8527317741939091,0.8782860556307721,0.8116037206067368,0.8861992908471313,0.7894761913835484,0.8502386320835249,0.9548922056384743,0.9918683482570924,0.9930171964564878,0.7424043136028826,0.7124463519313304,0.9909104090579103,0.9963192236908148,0.7656617022036338,0.6268882175226587,0.9902729778295285,0.9985328023475163,0.7821256038647342,0.5804195804195804,0.9934697137766371,0.9875621890547264,0.7070075503904127,0.9222222222222223,126.4,83,5355.0,4764,52.6,7,35.2,60
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118,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'minmax_scaling'}",0.9852043096997903,0.9843304843304843,0.8611951110069589,0.8495870758210284,0.8495326979140161,0.8326741741618158,0.8422883332387816,0.8223452297021779,0.8831191503564145,0.8822851481017939,0.9923935946747557,0.9919498170412964,0.7299966273391619,0.7072243346007605,0.993361753798804,0.9933830304045564,0.7057036420292284,0.6719653179190751,0.9940084585180509,0.9943408090547056,0.6905682079595122,0.6503496503496503,0.9907850354426303,0.9895702962035878,0.775453265270199,0.775,111.6,93,5375.2,4744,32.4,27,50.0,50
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119,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'minmax_scaling'}",0.9844500832223003,0.985958485958486,0.8686661769459516,0.8483357077519362,0.8793137303235887,0.8077227180526358,0.8869205633831079,0.7858748880547246,0.852679237660008,0.9492330016583748,0.9919799783410355,0.9928087545596664,0.7453523755508676,0.703862660944206,0.9910660055707077,0.9961100886732475,0.76756145507647,0.6193353474320241,0.9904579506294164,0.9983232026828757,0.7833831761367993,0.5734265734265734,0.9935083314194877,0.9873548922056384,0.711850143900528,0.9111111111111111,126.6,82,5356.0,4763,51.6,8,35.0,61
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120,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'minmax_scaling'}",0.9862098246480502,0.9853479853479854,0.8668928967893695,0.8545075327042235,0.8488537249049933,0.8303263026912768,0.8380119627629972,0.8160858215354128,0.9029357997551164,0.904496626545346,0.992916177989191,0.992479632337581,0.740869615589548,0.7165354330708661,0.9943687843956448,0.9944739816636664,0.703338665414342,0.6661786237188873,0.9953399288999686,0.9958080067071893,0.6806839966260256,0.6363636363636364,0.9905060612717493,0.9891734332708724,0.8153655382384833,0.8198198198198198,110.0,91,5382.4,4751,25.2,20,51.6,52
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121,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'minmax_scaling'}",0.9874666732002272,0.985958485958486,0.8814884494025248,0.8457508537779818,0.8672615672304591,0.8021321974900877,0.8584614798021967,0.7790914807263581,0.9084189593795594,0.9585918383075471,0.9935581776985511,0.9928117512240858,0.7694187211064984,0.6986899563318777,0.9946706705115418,0.9963616594178655,0.7398524639493763,0.60790273556231,0.9954138728779153,0.9987424020121568,0.721509086726478,0.5594405594405595,0.9917101577055469,0.9869511184755593,0.8251277610535718,0.9302325581395349,116.6,80,5382.8,4765,24.8,6,45.0,63
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122,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'minmax_scaling'}",0.9861739309005063,0.9849409849409849,0.8664365538691194,0.8538252508361204,0.8479233341666443,0.834388749878525,0.8367882247021111,0.8226596291991387,0.903349481617578,0.8922243068584532,0.9928979482871411,0.9922658862876255,0.739975159451098,0.7153846153846154,0.9943836674862216,0.9938863531677903,0.7014630008470674,0.6748911465892597,0.9953769248278859,0.9949696080486271,0.6781995245763361,0.6503496503496503,0.9904327947434302,0.9895768188451115,0.8162661684917261,0.7948717948717948,109.6,93,5382.6,4747,25.0,24,52.0,50
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123,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'minmax_scaling'}",0.9873230853148666,0.986975986975987,0.8790564352932337,0.8599124452782989,0.8624960212345563,0.8187978416363408,0.852395780338574,0.7965739982088755,0.911211861132864,0.9610201119635082,0.9934859900559758,0.9933291640608714,0.7646268805304915,0.7264957264957265,0.9947746295097396,0.9965700422470406,0.7302174129593728,0.6410256410256411,0.9956358210866256,0.9987424020121568,0.7091557395905221,0.5944055944055944,0.991346608753422,0.9879742898610823,0.8310771135123061,0.9340659340659341,114.6,85,5384.0,4765,23.6,6,47.0,58
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124,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'minmax_scaling'}",0.9860302656440355,0.9849409849409849,0.8667076246826705,0.8559798106535873,0.8513766768035534,0.8395298632765651,0.8421072057651429,0.8294430365275052,0.8970231412827726,0.8875546811551971,0.9928215269851004,0.9922626516102049,0.7405937223802408,0.7196969696969697,0.9940649476395151,0.9936340411274448,0.7086884059675915,0.6854256854256854,0.9948961077192287,0.9945504087193461,0.6893183038110575,0.6643356643356644,0.9907579588207038,0.9899853953682454,0.8032883237448412,0.7851239669421488,111.4,95,5380.0,4745,27.6,26,50.2,48
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125,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'minmax_scaling'}",0.9867484952125013,0.9861619861619861,0.8779289310066124,0.8460165931507633,0.8694285677040524,0.7998541271328321,0.8641025557528981,0.7758045768944951,0.8936534785934558,0.9692797270639171,0.9931837953929781,0.9929181420537389,0.7626740666202465,0.6991150442477876,0.9938556572032292,0.9966548191511604,0.7450014782048756,0.6030534351145038,0.9943043370253113,0.9991616013414378,0.7339007744804846,0.5524475524475524,0.9920671021377746,0.9867522252121714,0.7952398550491371,0.9518072289156626,118.6,79,5376.8,4767,30.8,4,43.0,64
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126,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'minmax_scaling'}",0.9859225457158487,0.9841269841269841,0.865838929090336,0.8470680990084156,0.8503404424578843,0.8295216555197578,0.840854146739648,0.8188487262056745,0.8957493605741955,0.8812365822241306,0.99276611807646,0.9918461216809534,0.7389117401042121,0.7022900763358778,0.9940207445948408,0.9933414297081117,0.706660140320928,0.6657018813314037,0.9948591254707081,0.9943408090547056,0.6868491680085882,0.6433566433566433,0.9906828872261798,0.989363920750782,0.8008158339222116,0.773109243697479,111.0,92,5379.8,4744,27.8,27,50.6,51
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127,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'minmax_scaling'}",0.9873948728099542,0.9867724867724867,0.8823147209545408,0.8559208843672739,0.870569826991846,0.8127209992015513,0.8632186571270907,0.7896857910481889,0.904083076317456,0.965374580868779,0.9935188949003024,0.9932270501198291,0.7711105470087791,0.7186147186147186,0.9944333259336805,0.9966541196152238,0.7467063280500116,0.6287878787878788,0.9950440161942169,0.9989520016767973,0.7313932980599647,0.5804195804195804,0.9919991053901889,0.9875673435557397,0.8161670472447231,0.9431818181818182,118.2,83,5380.8,4766,26.8,5,43.4,60
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128,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'minmax_scaling'}",0.98671255633181,0.9851444851444852,0.871308872824671,0.8563380586282587,0.8525434797766162,0.8375436967445926,0.8412533038688608,0.8261561326956421,0.9087263413740228,0.8931966610593574,0.9931751111367302,0.9923696038465558,0.7494426345126118,0.7203065134099617,0.9946720266541492,0.99392797319933,0.7104149328990829,0.6811594202898551,0.9956727759763533,0.9949696080486271,0.686833831761368,0.6573426573426573,0.9906914067501285,0.9897831526271893,0.826761275997917,0.7966101694915254,111.0,94,5384.2,4747,23.4,24,50.6,49
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129,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'minmax_scaling'}",0.9868920766502693,0.9865689865689866,0.8773633886165371,0.8543196878009516,0.8651775003710371,0.8121616449258658,0.8575552926037675,0.7895809912158687,0.8999705303396295,0.9600745182511498,0.9932608076933087,0.9931221342225928,0.7614659695397654,0.7155172413793104,0.9942190880474182,0.9964866786565728,0.7361359126946558,0.6278366111951589,0.9948590707531221,0.9987424020121568,0.720251514454413,0.5804195804195804,0.9916681734357834,0.9875647668393782,0.8082728872434755,0.9325842696629213,116.4,83,5379.8,4765,27.8,6,45.2,60
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130,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'minmax_scaling'}",0.9864612162803,0.9851444851444852,0.8683753912223772,0.857400734219936,0.848740060476232,0.840109005459835,0.836920803769577,0.8295478363598254,0.9074580007342858,0.8908270755110554,0.9930468415978334,0.9923680083638264,0.7437039408469208,0.7224334600760456,0.9946206329508351,0.9938018259485719,0.7028594880016288,0.6864161849710982,0.9956727554572586,0.9947600083839866,0.6781688520818956,0.6643356643356644,0.9904355003080028,0.9899874843554443,0.8244805011605688,0.7916666666666666,109.6,95,5384.2,4746,23.4,25,52.0,48
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131,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'minmax_scaling'}",0.9869998417116037,0.9857549857549858,0.8796296978634249,0.844179493916305,0.8697791818400548,0.8015872466872441,0.863614027067489,0.7789866808940379,0.8979112982429841,0.953244322524878,0.9933140982004488,0.9927068139195666,0.7659452975264013,0.6956521739130435,0.9940852127694024,0.9961942202333653,0.745473150910707,0.6069802731411229,0.9946001881737787,0.9985328023475163,0.7326278659611993,0.5594405594405595,0.992032488770765,0.9869484151646986,0.8037901077152029,0.9195402298850575,118.4,80,5378.4,4764,29.2,7,43.2,63
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132,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'minmax_scaling'}",0.9861020853770859,0.985958485958486,0.8666240486378097,0.8642099458267103,0.849858030097819,0.8449994537906926,0.839745179226582,0.8333587393532897,0.8999581727508105,0.9018797444197848,0.9928596368871592,0.9927877077453747,0.7403884603884603,0.735632183908046,0.9942131729877255,0.9943467336683417,0.7055028872079129,0.6956521739130435,0.9951179943706547,0.9953888073779082,0.684372364082509,0.6713286713286714,0.9906135391117008,0.9902001668056714,0.8093028063899202,0.8135593220338984,110.6,96,5381.2,4749,26.4,22,51.0,47
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133,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'minmax_scaling'}",0.987502592738141,0.9863654863654864,0.8854282307339639,0.8514876808093439,0.8773793606925523,0.8088285616516482,0.8722751829447036,0.7860844877193651,0.9000023096113171,0.959589157216592,0.9935708218127619,0.9930186516619777,0.7772856396551658,0.70995670995671,0.9941881066348348,0.9964450020911753,0.7605706147502695,0.6212121212121212,0.9946002086928735,0.9987424020121568,0.7499501571965341,0.5734265734265734,0.9925443224900683,0.9873601326150021,0.8074602967325661,0.9318181818181818,121.2,82,5378.4,4765,29.2,6,40.4,61
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134,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'minmax_scaling'}",0.9859225715062188,0.9851444851444852,0.8660258352131918,0.8594782878477523,0.8507682387513645,0.8451942742501581,0.8414606111094644,0.836331243688192,0.8956722887676435,0.8863273621119268,0.9927657793465399,0.9923648153958791,0.7392858910798437,0.7265917602996255,0.9939984026737244,0.9935494680405462,0.7075380748290047,0.6968390804597702,0.9948221500618857,0.9943408090547056,0.6880990721570431,0.6783216783216783,0.9907193587400585,0.9903966597077244,0.8006252187952285,0.782258064516129,111.2,97,5379.6,4744,28.0,27,50.4,46
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135,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'minmax_scaling'}",0.9869998159212336,0.986975986975987,0.8821414438566968,0.8599124452782989,0.8758722932766076,0.8187978416363408,0.8720201412668638,0.7965739982088755,0.8939995843442204,0.9610201119635082,0.9933097025775188,0.9933291640608714,0.770973185135875,0.7264957264957265,0.9937729072158323,0.9965700422470406,0.7579716793373829,0.6410256410256411,0.9940824572135835,0.9987424020121568,0.749957825320144,0.5944055944055944,0.9925406770039771,0.9879742898610823,0.7954584916844638,0.9340659340659341,121.2,85,5375.6,4765,32.0,6,40.4,58
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136,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'minmax_scaling'}",0.987071674339839,0.9857549857549858,0.87287489744713,0.8617265886287625,0.8508563415683744,0.8418550153947284,0.837830142425197,0.8298622358567863,0.9182748922273005,0.9009797790285595,0.993362305568622,0.9926839464882943,0.7523874893256378,0.7307692307692307,0.9951013863676226,0.9943050961015033,0.7066112967691263,0.6894049346879536,0.9962645329908743,0.9953888073779082,0.67939575185952,0.6643356643356644,0.9904787699400117,0.9899937460913071,0.8460710145145892,0.811965811965812,109.8,95,5387.4,4749,20.2,22,51.8,48
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137,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'minmax_scaling'}",0.9879335433744055,0.9867724867724867,0.8828070677295781,0.857127840635882,0.86249371228425,0.8154847231608375,0.850280465268723,0.7930774947123721,0.9233247185472605,0.9605514096185739,0.9938028076711891,0.993225638353309,0.7718113277879672,0.721030042918455,0.995366846262345,0.9965283587083821,0.729620578306155,0.6344410876132931,0.9964124756643535,0.9987424020121568,0.7041484548730925,0.5874125874125874,0.9912077550456312,0.9877694859038143,0.8554416820488899,0.9333333333333333,113.8,84,5388.2,4765,19.4,6,47.8,59
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138,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'minmax_scaling'}",0.986030284986813,0.9861619861619861,0.864999489799807,0.862590447553989,0.8465767285373736,0.8378562657843442,0.8355051655272423,0.8232884281930604,0.9018169716430904,0.9137138387606845,0.9928242115485256,0.9928974305410486,0.7371747680510884,0.7322834645669292,0.9943097731210202,0.9948926194164189,0.6988436839537269,0.6808199121522694,0.9953029466514479,0.9962272060364703,0.6757073844030366,0.6503496503496503,0.9903594039471806,0.9895898396835311,0.813274539339,0.8378378378378378,109.2,93,5382.2,4753,25.4,18,52.4,50
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139,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'minmax_scaling'}",0.9875385703043875,0.9863654863654864,0.8795444927508523,0.8514876808093439,0.8604793376266814,0.8088285616516482,0.8489062883229878,0.7860844877193651,0.9168565246410129,0.959589157216592,0.9935991716213314,0.9930186516619777,0.765489813880373,0.70995670995671,0.9950858853040969,0.9964450020911753,0.7258727899492656,0.6212121212121212,0.9960795807100812,0.9987424020121568,0.7017329959358946,0.5734265734265734,0.9911314732724488,0.9873601326150021,0.8425815760095767,0.9318181818181818,113.4,82,5386.4,4765,21.2,6,48.2,61
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140,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'minmax_scaling'}",0.9863894029948422,0.9853479853479854,0.8681645891725001,0.8556140305056414,0.84894501465493,0.8329403819090563,0.8375018154350808,0.819477525199596,0.9072542059286869,0.9017682525580033,0.9930090272404772,0.9924780610112829,0.7433201511045231,0.71875,0.994538857821101,0.9943479171027841,0.7033511714887593,0.6715328467153284,0.9955618702689808,0.9955984070425488,0.6794417606011809,0.6433566433566433,0.9904717289427383,0.9893772130806082,0.8240366829146357,0.8141592920353983,109.8,92,5383.6,4750,24.0,21,51.8,51
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141,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'minmax_scaling'}",0.9875743995760062,0.9865689865689866,0.8820286898622063,0.8543196878009516,0.8662968085055167,0.8121616449258658,0.8567052316089884,0.7895809912158687,0.9126500713352511,0.9600745182511498,0.9936141635024512,0.9931221342225928,0.7704432162219612,0.7155172413793104,0.9948259306776286,0.9964866786565728,0.7377676863334044,0.6278366111951589,0.9956357526896429,0.9987424020121568,0.7177747105283336,0.5804195804195804,0.9916024176344106,0.9875647668393782,0.8336977250360915,0.9325842696629213,116.0,83,5384.0,4765,23.6,6,45.6,60
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142,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'minmax_scaling'}",0.9861380242577773,0.9853479853479854,0.8680134673487467,0.8567033607931763,0.8522859203112434,0.8355388633123595,0.8427729570504507,0.8228692288637793,0.899157887064141,0.8991384074580755,0.9928765019883998,0.9924764890282132,0.7431504327090935,0.7209302325581395,0.9941313021925822,0.9942218314282125,0.7104405384299046,0.6768558951965066,0.994970038017779,0.9953888073779082,0.6905758760831225,0.6503496503496503,0.9907939242450272,0.989581162742238,0.8075218498832548,0.808695652173913,111.6,93,5380.4,4749,27.2,22,50.0,50
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143,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'minmax_scaling'}",0.9865688910753392,0.9871794871794872,0.8733382076495773,0.8615239070778549,0.8597271586941175,0.8193657257149385,0.8513932966173396,0.7966787980411958,0.8995939796750065,0.9662106135986732,0.9930960514758953,0.9934340802501302,0.7535803638232594,0.7296137339055794,0.9941750647798248,0.9967374937259494,0.7252792526084104,0.6419939577039275,0.9948960940398323,0.9989520016767973,0.7078904991948469,0.5944055944055944,0.9913044101873701,0.9879767827529021,0.8078835491626426,0.9444444444444444,114.4,85,5380.0,4766,27.6,5,47.2,58
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144,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'yeo_johnson'}",0.9833368741362241,0.9798534798534798,0.8490828057477149,0.8135007849293563,0.8438197140260622,0.805052790346908,0.8407470936033814,0.7996894114060327,0.8597346915865242,0.82876254180602,0.9914241338234264,0.9896389324960754,0.7067414776720033,0.6373626373626373,0.9918423300467263,0.9904474610356964,0.695797098005398,0.6196581196581197,0.9921222065304345,0.9909872144204569,0.6893719806763284,0.6083916083916084,0.9907314491479579,0.9882943143812709,0.7287379340250906,0.6692307692307692,111.4,87,5365.0,4728,42.6,43,50.2,56
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145,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'yeo_johnson'}",0.9784168968188546,0.9861619861619861,0.8378283609446289,0.8499051328858289,0.8717409439028325,0.8082749335304329,0.8988104502705438,0.7859796878870449,0.7942505623743411,0.9543529137800547,0.9888231901079634,0.9929137140475198,0.6868335317812944,0.7068965517241379,0.9855137213237398,0.9962775523861307,0.757968166481925,0.6202723146747352,0.9833198500081529,0.9985328023475163,0.8143010505329344,0.5734265734265734,0.9943893116651775,0.9873575129533678,0.5941118130835047,0.9213483146067416,131.6,82,5317.4,4764,90.2,7,30.0,61
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146,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'yeo_johnson'}",0.9834446005120034,0.98005698005698,0.8492606522346768,0.8198680351906158,0.8431968548193105,0.8159291628424593,0.839585804174725,0.8133610258950859,0.861323648463913,0.8266740418275527,0.9914810157313898,0.9897360703812317,0.7070402887379641,0.65,0.9919760395804866,0.9901093835128453,0.6944176700581345,0.6417489421720733,0.9923071040936415,0.9903584154265354,0.6868645042558086,0.6363636363636364,0.9906601567461568,0.9891145070127695,0.7319871401816691,0.6642335766423357,111.0,91,5366.0,4725,41.6,46,50.6,52
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147,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'yeo_johnson'}",0.978668294898697,0.9857549857549858,0.8379928092442986,0.8454905779707063,0.8693545404928894,0.8043882221350002,0.894138077542587,0.7823783845582211,0.7971020484733555,0.9486313093089597,0.9889575173944805,0.9927052938724469,0.687028101094117,0.6982758620689655,0.9859012836049791,0.9960684261156887,0.7528077973807998,0.6127080181543116,0.9838746521329462,0.9983232026828757,0.8044015029522276,0.5664335664335665,0.9940951586988678,0.9871502590673575,0.6001089382478433,0.9101123595505618,130.0,81,5320.4,4763,87.2,8,31.6,62
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148,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'yeo_johnson'}",0.9826904256152534,0.9798534798534798,0.8446664641718094,0.8186585415403174,0.8411021011428517,0.8153931974074118,0.8391974529469172,0.8132562260627656,0.8526338276416745,0.8242662588303838,0.9910887766067361,0.9896302503404211,0.6982441517368828,0.6476868327402135,0.9913530441975056,0.9899413243922883,0.6908511580881976,0.6408450704225352,0.9915304016380256,0.9901488157618947,0.6868645042558086,0.6363636363636364,0.9906530403963826,0.9891122278056952,0.7146146148869661,0.6594202898550725,111.0,91,5361.8,4724,45.8,47,50.6,52
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149,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'yeo_johnson'}",0.976298114756186,0.9861619861619861,0.8277498403019289,0.8499051328858289,0.8670027947087762,0.8082749335304329,0.8995272896265354,0.7859796878870449,0.7796248457858649,0.9543529137800547,0.9877102013369898,0.9929137140475198,0.6677894792668677,0.7068965517241379,0.9836889763607793,0.9962775523861307,0.7503166130567731,0.6202723146747352,0.9810268206456019,0.9985328023475163,0.8180277586074688,0.5734265734265734,0.9944879750760617,0.9873575129533678,0.5647617164956681,0.9213483146067416,132.2,82,5305.0,4764,102.6,7,29.4,61
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150,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'yeo_johnson'}",0.9829059234999595,0.9802604802604803,0.8463402571862657,0.8210858086811996,0.8425680685773191,0.8164663978895599,0.8405059887650422,0.8134658257274061,0.8546390715277378,0.8291172161623126,0.9912002318815167,0.9898418682584564,0.7014802824910149,0.6523297491039427,0.9914864275407108,0.9902774285474814,0.6936497096139275,0.6426553672316384,0.9916783374718067,0.9905680150911759,0.6893336400582778,0.6363636363636364,0.9907276801185573,0.9891167852658016,0.7185504629369184,0.6691176470588235,111.4,91,5362.6,4726,45.0,45,50.2,52
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151,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'yeo_johnson'}",0.9775191082463742,0.9853479853479854,0.8339744133306912,0.8397274794567708,0.8707854828024117,0.7976890655909189,0.9007509739747321,0.775385377565214,0.7878202493281192,0.947393612081467,0.9883505329250901,0.9924984371744113,0.6795982937362923,0.6869565217391305,0.9846792816014844,0.9959851114549789,0.7568916840033392,0.5993930197268589,0.9822472895643714,0.9983232026828757,0.819254658385093,0.5524475524475524,0.9945321410325489,0.9867412471514398,0.5811083576236895,0.9080459770114943,132.4,79,5311.6,4763,96.0,8,29.2,64
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152,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'yeo_johnson'}",0.984701494197328,0.9814814814814815,0.8565723959466572,0.8285714285714285,0.8444883121070532,0.8197167755991286,0.8372314159860288,0.8140946247213277,0.8806435234218848,0.8445652173913043,0.9921345468218234,0.9904761904761905,0.721010245071491,0.6666666666666666,0.9931245914763928,0.9912854030501089,0.6958520327377139,0.6481481481481481,0.993786503469642,0.9918256130790191,0.6806763285024156,0.6363636363636364,0.9904919597501521,0.9891304347826086,0.7707950870936173,0.7,110.0,91,5374.0,4732,33.6,39,51.6,52
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153,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'yeo_johnson'}",0.9851324061480374,0.985958485958486,0.8674056314184595,0.8470544772514138,0.8659186476878483,0.8049361241017452,0.8650361235274717,0.7824831843905413,0.870324036837582,0.953803733564405,0.992345076692092,0.9928102532041263,0.742466186144827,0.7012987012987013,0.9924553402690943,0.9962358845671268,0.7393819551066021,0.6136363636363636,0.9925291138596363,0.9985328023475163,0.7375431331953072,0.5664335664335665,0.9921623620819193,0.9871529216742644,0.7484857115932448,0.9204545454545454,119.2,81,5367.2,4764,40.4,7,42.4,62
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154,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'yeo_johnson'}",0.9849888053674919,0.981074481074481,0.8582669962390008,0.8260415100444412,0.844469295622097,0.8186281430220246,0.8361817935258891,0.8138850250566871,0.8857521897018203,0.8392599140717083,0.9922838740288078,0.9902648382707003,0.7242501184491942,0.6618181818181819,0.9934061053849403,0.9909494678622308,0.695532485859254,0.6463068181818182,0.994156394351832,0.991406413749738,0.6782071926999463,0.6363636363636364,0.990421979893793,0.9891258887494772,0.7810823995098479,0.6893939393939394,109.6,91,5376.0,4730,31.6,41,52.0,52
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155,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'yeo_johnson'}",0.9852760649569156,0.9855514855514855,0.8668852911912703,0.8412798640324161,0.8624967973582185,0.7982282553760953,0.8597401194764771,0.7754901773975343,0.8749558607356006,0.9526743222673937,0.9924221923673752,0.9926033961871028,0.7413483900151652,0.6899563318777293,0.9927745657122585,0.9961525593844095,0.7322190290041783,0.6003039513677811,0.9930098762507071,0.9985328023475163,0.7264703627022467,0.5524475524475524,0.9918364784851738,0.9867439933719967,0.7580752429860274,0.9186046511627907,117.4,79,5369.8,4764,37.8,7,44.2,64
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156,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'yeo_johnson'}",0.9847733332731557,0.9814814814814815,0.8591736633973621,0.8285714285714285,0.8496800004910152,0.8197167755991286,0.8438704453121486,0.8140946247213277,0.8774467975742392,0.8445652173913043,0.9921685361525068,0.9904761904761905,0.7261787906422172,0.6666666666666666,0.9929388708352747,0.9912854030501089,0.706421130146756,0.6481481481481481,0.993453642713861,0.9918256130790191,0.6942872479104364,0.6363636363636364,0.9908894850767955,0.9891304347826086,0.7640041100716826,0.7,112.2,91,5372.2,4732,35.4,39,49.4,52
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157,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'yeo_johnson'}",0.9839472999578005,0.9857549857549858,0.8628528739451383,0.844179493916305,0.8704730478959393,0.8015872466872441,0.8758642259409181,0.7789866808940379,0.8512260433710201,0.953244322524878,0.9917237361877611,0.9927068139195666,0.7339820117025155,0.6956521739130435,0.9910525148061342,0.9961942202333653,0.7498935809857443,0.6069802731411229,0.9906058385853097,0.9985328023475163,0.7611226132965264,0.5594405594405595,0.9928456731706948,0.9869484151646986,0.7096064135713457,0.9195402298850575,123.0,80,5356.8,4764,50.8,7,38.6,63
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158,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'yeo_johnson'}",0.9844142410554966,0.9812779812779813,0.8549251263434424,0.8285175879396984,0.8441976829953545,0.8217366302472686,0.8376784560160452,0.8173815285531907,0.8758375047627339,0.8405310494391176,0.9919852911885265,0.9903685092127303,0.7178649614983582,0.6666666666666666,0.9928654284251573,0.990990990990991,0.6955299375655517,0.6524822695035462,0.9934536837520506,0.991406413749738,0.6819032282800399,0.6433566433566433,0.9905243551039193,0.9893327755699645,0.7611506544215487,0.6917293233082706,110.2,92,5372.2,4730,35.4,41,51.4,51
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159,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.03, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'yeo_johnson'}",0.9833368032127063,0.9863654863654864,0.8574201562540292,0.8527317741939091,0.8648803153591654,0.8116037206067368,0.8701377438601472,0.7894761913835484,0.8459840163163944,0.9548922056384743,0.9914094525461964,0.9930171964564878,0.7234308599618621,0.7124463519313304,0.9907493383094458,0.9963192236908148,0.739011292408885,0.6268882175226587,0.9903099942765404,0.9985328023475163,0.7499654934437543,0.5804195804195804,0.9925125840126233,0.9875621890547264,0.6994554486201656,0.9222222222222223,121.2,83,5355.2,4764,52.4,7,40.4,60
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160,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'yeo_johnson'}",0.9853478975851508,0.9829059829059829,0.8628504214367908,0.8400502197112367,0.8504756855402011,0.8287220850699117,0.8429649041048901,0.821611630875936,0.8870689000111392,0.8609192547401181,0.9924666611190958,0.9912115505335845,0.7332341817544862,0.6888888888888889,0.9934572653168153,0.9922081186376775,0.7074941057635867,0.6652360515021459,0.9941193642254234,0.9928736114022217,0.691810443984357,0.6503496503496503,0.990822402848783,0.9895550449133069,0.7833153971734952,0.7322834645669292,111.8,93,5375.8,4737,31.8,34,49.8,50
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161,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'yeo_johnson'}",0.9854197237657937,0.9867724867724867,0.8733069505004923,0.8583142406586364,0.8777200804228779,0.818231408861414,0.8808178142788787,0.7964691983765553,0.8665149440845938,0.9559424197067787,0.9924869673840819,0.9932242259981237,0.754126933616903,0.723404255319149,0.9921125804433613,0.9964025767589726,0.7633275804023941,0.6400602409638554,0.991863371828979,0.9985328023475163,0.7697722567287786,0.5944055944055944,0.993112481262116,0.9879717959352966,0.7399174069070716,0.9239130434782609,124.4,85,5363.6,4764,44.0,7,37.2,58
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162,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'yeo_johnson'}",0.9856352023077223,0.9822954822954822,0.8652381828788392,0.8337392776071597,0.852273407368242,0.821909784370511,0.8443181210737883,0.8145138240506088,0.8901031011524999,0.8556808688387636,0.9926150100131089,0.9908986295637618,0.7378613557445698,0.6765799256505576,0.993649853439425,0.9919571045576407,0.7108969612970588,0.6518624641833811,0.9943413261135301,0.9926640117375812,0.6942949160340464,0.6363636363636364,0.9908965501617912,0.9891395154553049,0.7893096521432087,0.7222222222222222,112.2,91,5377.0,4736,30.6,35,49.4,52
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163,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'yeo_johnson'}",0.9856351184890195,0.985958485958486,0.8756602178741918,0.8470544772514138,0.8812629682298396,0.8049361241017452,0.8851049335235295,0.7824831843905413,0.8667263405377577,0.953803733564405,0.9925971779233291,0.9928102532041263,0.7587232578250542,0.7012987012987013,0.9921345033086565,0.9962358845671268,0.7703914331510229,0.6136363636363636,0.9918263075040791,0.9985328023475163,0.7783835595429798,0.5664335664335665,0.9933693197920206,0.9871529216742644,0.7400833612834947,0.9204545454545454,125.8,81,5363.4,4764,44.2,7,35.8,62
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164,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'yeo_johnson'}",0.985168357923914,0.9820919820919821,0.8625644821199849,0.833630857114717,0.8521940104575828,0.8239341235436959,0.8458664057756747,0.8178007278824717,0.8826415822692271,0.851259993681806,0.9923721100358815,0.9907911259941398,0.7327568542040883,0.6764705882352942,0.9931977535856781,0.9916628262600025,0.7111902673294874,0.6562054208273894,0.9937495280608196,0.9922448124083001,0.6979832834905298,0.6433566433566433,0.9910013936570422,0.9893416927899686,0.774281770881412,0.7131782945736435,112.8,92,5373.8,4734,33.8,37,48.8,51
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165,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'yeo_johnson'}",0.985204167852755,0.9857549857549858,0.8740490258917106,0.844179493916305,0.8825144727699069,0.8015872466872441,0.8884834616943079,0.7789866808940379,0.8610814691224713,0.953244322524878,0.9923708831936731,0.9927068139195666,0.7557271685897481,0.6956521739130435,0.9916442313573001,0.9961942202333653,0.7733847141825136,0.6069802731411229,0.991160620191008,0.9985328023475163,0.7858063031976075,0.5594405594405595,0.9935852775155791,0.9869484151646986,0.7285776607293635,0.9195402298850575,127.0,80,5359.8,4764,47.8,7,34.6,63
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166,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'yeo_johnson'}",0.9847374072876495,0.9816849816849816,0.8592519668669872,0.8286252354048964,0.8500860044716563,0.8176782825713964,0.8444507572737926,0.8108077208894647,0.8767438478209348,0.84879488246547,0.9921494336972199,0.9905838041431262,0.7263545000367546,0.6666666666666666,0.9928869288363342,0.9915797411084579,0.7072850801069782,0.6437768240343348,0.9933796987359143,0.9922448124083001,0.6955218158116708,0.6293706293706294,0.9909246826142113,0.9889283476081053,0.7625630130276584,0.7086614173228346,112.4,90,5371.8,4734,35.8,37,49.2,53
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167,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'yeo_johnson'}",0.9850246668770731,0.986975986975987,0.8733161727274311,0.8610706662331604,0.8835258917222648,0.8215303999383525,0.8908091851691134,0.7999657018730588,0.857950351213898,0.9564539548079303,0.9922767099154068,0.9933277731442869,0.7543556355394554,0.7288135593220338,0.9914066479116584,0.9964442585233215,0.7756451355328713,0.6466165413533834,0.99082778679402,0.9985328023475163,0.7907905835442067,0.6013986013986014,0.9937315567786241,0.9881767268201618,0.7221691456491719,0.9247311827956989,127.8,86,5358.0,4764,49.6,7,33.8,57
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168,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'yeo_johnson'}",0.9854915692892142,0.9827024827024827,0.8610648052166138,0.8351784294420911,0.84416612906531,0.8204170756400867,0.8340263413304776,0.8113317200510661,0.8949249225112699,0.863322408932921,0.9925454546961564,0.9911115758653143,0.7295841557370709,0.6792452830188679,0.9939098845908502,0.9924191656893953,0.6944223735397697,0.6484149855907781,0.9948221021839977,0.9932928107315029,0.6732305804769572,0.6293706293706294,0.9902817315529342,0.9889398998330551,0.7995681134696057,0.7377049180327869,108.8,90,5379.6,4739,28.0,32,52.8,53
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169,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'yeo_johnson'}",0.9875385058284623,0.985958485958486,0.8812802542435316,0.8470544772514138,0.8652392761249589,0.8049361241017452,0.855493005993065,0.7824831843905413,0.9126979545062769,0.953803733564405,0.9935963312529049,0.9928102532041263,0.7689641772341582,0.7012987012987013,0.9948409276246807,0.9962358845671268,0.7356376246252372,0.6136363636363636,0.9956727691366549,0.9985328023475163,0.7153132428494747,0.5664335664335665,0.9915303991799206,0.9871529216742644,0.8338655098326331,0.9204545454545454,115.6,81,5384.2,4764,23.4,7,46.0,62
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170,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'yeo_johnson'}",0.9863893578616946,0.9839234839234839,0.8690396236645995,0.8468128932461787,0.8511566973708344,0.8315381150352711,0.8405149259369468,0.8221356300375373,0.9053825717762389,0.8759305126029722,0.9930075906580619,0.9917389940395274,0.7450716566711368,0.7018867924528301,0.9944274265968683,0.9930474116267382,0.7078859681448006,0.670028818443804,0.9953769111484894,0.9939216097254244,0.6856529407254046,0.6503496503496503,0.9906528312877345,0.9895659432387313,0.8201123122647436,0.7622950819672131,110.8,93,5382.6,4742,25.0,29,50.8,50
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171,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'yeo_johnson'}",0.9873589403768553,0.9861619861619861,0.879678828982968,0.8473355263157895,0.8638753435140274,0.8026785453433078,0.8542067987808541,0.7791962805586784,0.9101982577339797,0.96406514562752,0.9935039787374921,0.9929166666666667,0.7658536792284438,0.7017543859649122,0.9947375175316552,0.9965290845983357,0.7330131694963997,0.60882800608828,0.9955618223910928,0.9989520016767973,0.7128517751706157,0.5594405594405595,0.9914558241824027,0.9869538206668047,0.8289406912855567,0.9411764705882353,115.2,80,5383.6,4766,24.0,5,46.4,63
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172,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'yeo_johnson'}",0.9857788675641931,0.9822954822954822,0.8653642412122606,0.8337392776071597,0.8507895705141124,0.821909784370511,0.8419739064747225,0.8145138240506088,0.894150141676221,0.8556808688387636,0.9926906545200447,0.9908986295637618,0.7380378279044766,0.6765799256505576,0.9938573284147999,0.9919571045576407,0.7077218126134251,0.6518624641833811,0.9946371772619976,0.9926640117375812,0.6893106356874472,0.6363636363636364,0.9907544151588425,0.9891395154553049,0.7975458681935994,0.7222222222222222,111.4,91,5378.6,4736,29.0,35,50.2,52
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173,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'yeo_johnson'}",0.9868920895454544,0.9855514855514855,0.8790768125093245,0.8399148032946274,0.8705876242126831,0.7953952629034529,0.8653626071370871,0.7720984737333512,0.895257130317708,0.9575569358178053,0.9932578107807839,0.9926049369857306,0.7648958142378649,0.6872246696035242,0.9939295167744827,0.9962783306849544,0.7472457316508836,0.5945121951219512,0.994378308362051,0.9987424020121568,0.7363469059121233,0.5454545454545454,0.9921422343427444,0.9865424430641822,0.7983720262926715,0.9285714285714286,119.0,78,5377.2,4765,30.4,6,42.6,65
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174,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'yeo_johnson'}",0.9856352216504998,0.9833129833129833,0.8648439633278506,0.842726222444264,0.8512921802512612,0.8298443923821903,0.8431128501982187,0.8218212305405765,0.8916574225370468,0.866779703487158,0.9926154548320095,0.9914225941422594,0.7370724718236918,0.6940298507462687,0.9936941658142018,0.9925438780211955,0.7088901946883206,0.667144906743185,0.9944152564120803,0.9932928107315029,0.691810443984357,0.6503496503496503,0.9908253589090457,0.9895594069743161,0.7924894861650478,0.744,111.8,93,5377.4,4739,30.2,32,49.8,50
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175,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.05, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'yeo_johnson'}",0.9872152944631623,0.9861619861619861,0.8810380788161194,0.8499051328858289,0.8699808817467984,0.8082749335304329,0.8631223640241347,0.7859796878870449,0.9018748538261068,0.9543529137800547,0.9934257968206118,0.9929137140475198,0.7686503608116265,0.7068965517241379,0.994285089121696,0.9962775523861307,0.7456766743719008,0.6202723146747352,0.994859098111915,0.9985328023475163,0.7313856299363547,0.5734265734265734,0.9919982128280607,0.9873575129533678,0.8117514948241531,0.9213483146067416,118.2,82,5379.8,4764,27.8,7,43.4,61
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176,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'yeo_johnson'}",0.9864611453567825,0.9835164835164835,0.8699523417319804,0.8417734174221208,0.8519452187047003,0.8252393428637965,0.8411353579249059,0.8151426230445304,0.9059749876744074,0.8737432206925323,0.993044270393894,0.9915316257187663,0.7468604130700671,0.6920152091254753,0.994464414309026,0.9929642348605411,0.7094260231003746,0.6575144508670521,0.9954138797176133,0.9939216097254244,0.6868568361321985,0.6363636363636364,0.9906881096344261,0.9891531080517313,0.8212618657143889,0.7583333333333333,111.0,91,5382.8,4742,24.8,29,50.6,52
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177,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'yeo_johnson'}",0.9875025733953635,0.9871794871794872,0.8825361470651408,0.8638042785364444,0.8702251389427538,0.8248195484641268,0.8626523401423827,0.8034622053695624,0.9060905850759025,0.9569568288161031,0.993575403508871,0.9934313418830153,0.7714968906214109,0.7341772151898734,0.9945444822030772,0.9964859437751004,0.7459057956824301,0.6531531531531531,0.9951919588676962,0.9985328023475163,0.7301127214170692,0.6083916083916084,0.9919659418496437,0.9883817427385893,0.8202152283021611,0.925531914893617,118.0,87,5381.6,4764,26.0,7,43.6,56
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178,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'yeo_johnson'}",0.9863533996382257,0.9837199837199837,0.8665158446879632,0.8465621682383064,0.8449142609616143,0.8335359137703875,0.8320634890203745,0.8254225338694003,0.9104443418129394,0.8708841094174149,0.9929926205074378,0.9916317991631799,0.7400390688684887,0.7014925373134329,0.9947095380588344,0.9927533196498136,0.6951189838643943,0.6743185078909613,0.9958576735395603,0.9935024103961434,0.6682693045011886,0.6573426573426573,0.9901450962124443,0.9897682188348298,0.8307435874134347,0.752,108.0,94,5385.2,4740,22.4,31,53.6,49
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179,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'yeo_johnson'}",0.9875026185285112,0.9867724867724867,0.884330042257524,0.8594806048391886,0.8739490439923376,0.8209612097036796,0.8674733757667736,0.7998609020407386,0.9036557484611804,0.9515339454400988,0.9935725700367068,0.9932228130539047,0.7750875144783408,0.7257383966244726,0.9943661221679145,0.9962767737617135,0.7535319658167605,0.6456456456456456,0.9948961419177202,0.9983232026828757,0.740050609615827,0.6013986013986014,0.9922539090044488,0.9881742738589212,0.8150575879179118,0.9148936170212766,119.6,86,5380.0,4763,27.6,8,42.0,57
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180,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'yeo_johnson'}",0.9861379597818521,0.9835164835164835,0.866771900309337,0.8429347386448162,0.8487748575603067,0.8278311019035429,0.8379558067856019,0.8185343267087136,0.9026699517361976,0.8717278113796217,0.9928783776685262,0.9915298546481229,0.7406654229501483,0.6943396226415094,0.9943093143291806,0.9928379963142905,0.703240400791433,0.6628242074927954,0.9952659575632289,0.9937120100607839,0.6806456560079749,0.6433566433566433,0.9905041612576205,0.9893572621035058,0.8148357422147745,0.7540983606557377,110.0,92,5382.0,4741,25.6,30,51.6,51
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181,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'yeo_johnson'}",0.9868561700075403,0.986975986975987,0.8796188911045947,0.8622094093111696,0.8727352610031494,0.8242461833970267,0.8683380596255166,0.8033574055372421,0.8919377564270367,0.9520844027478949,0.9932381160991426,0.9933263816475495,0.7659996661100468,0.7310924369747899,0.9937888059886074,0.9963184537505753,0.7516817160176913,0.6521739130434783,0.9941563738327371,0.9983232026828757,0.7425197454182961,0.6083916083916084,0.9923220597598086,0.9883793318115792,0.791553453094265,0.9157894736842105,120.0,87,5376.0,4763,31.6,8,41.6,56
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182,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'yeo_johnson'}",0.9855634148126345,0.9824989824989825,0.8637331011735896,0.8326251853541691,0.8493780719867259,0.8172566220059624,0.8406768865214092,0.8078352165545626,0.8919055092649695,0.8621353799359603,0.9925793029523307,0.9910079464659138,0.7348868993948485,0.6742424242424242,0.993724089672108,0.9923776018762827,0.7050320543013436,0.6421356421356421,0.9944892687870096,0.9932928107315029,0.6868645042558086,0.6223776223776224,0.9906792343558453,0.9887335697892761,0.7931317841740936,0.7355371900826446,111.0,89,5377.8,4739,29.8,32,50.6,54
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183,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 6, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'yeo_johnson'}",0.9869280155309609,0.985958485958486,0.8826676504459643,0.8470544772514138,0.8789456300777816,0.8049361241017452,0.8767811321344683,0.7824831843905413,0.890261538812334,0.953803733564405,0.9932706480038191,0.9928102532041263,0.7720646528881092,0.7012987012987013,0.9935353631066063,0.9962358845671268,0.7643558970489572,0.6136363636363636,0.9937125594916955,0.9985328023475163,0.7598497047772412,0.5664335664335665,0.9928323286968121,0.9871529216742644,0.7876907489278562,0.9204545454545454,122.8,81,5373.6,4764,34.0,7,38.8,62
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184,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'yeo_johnson'}",0.9869639415164674,0.9845339845339846,0.8726840371150519,0.8487424363927973,0.851149342600672,0.828051489000142,0.838388794706144,0.8156666222061317,0.9168367617602247,0.8902343785390072,0.9933057246808102,0.9920585161964472,0.7520623495492934,0.7054263565891473,0.9949901004453066,0.9938031235606917,0.7073085847560374,0.6622998544395924,0.9961165971570931,0.9949696080486271,0.6806609922551952,0.6363636363636364,0.9905126540199793,0.9891644092519275,0.8431608695004702,0.7913043478260869,110.0,91,5386.6,4747,21.0,24,51.6,52
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185,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'yeo_johnson'}",0.9876103642470679,0.9861619861619861,0.8788810270598635,0.8499051328858289,0.8571088017964599,0.8082749335304329,0.8441222794051564,0.7859796878870449,0.9229738792894443,0.9543529137800547,0.9936379645982708,0.9929137140475198,0.7641240895214564,0.7068965517241379,0.9953228213453992,0.9962775523861307,0.7188947822475205,0.6202723146747352,0.9964494510731761,0.9985328023475163,0.6917951077371367,0.5734265734265734,0.9908433514173332,0.9873575129533678,0.8551044071615552,0.9213483146067416,111.8,82,5388.4,4764,19.2,7,49.8,61
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186,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'yeo_johnson'}",0.9861379726770372,0.9841269841269841,0.8655409029545755,0.8459239130434782,0.8456436922034275,0.8269224843623216,0.8337565922973423,0.8154570225414912,0.9057043723562375,0.8834688346883469,0.992880278067109,0.9918478260869565,0.7382015278420421,0.7,0.9944651338532046,0.9934676102340773,0.6968222505536504,0.660377358490566,0.995524840142572,0.9945504087193461,0.6719883444521126,0.6363636363636364,0.990251316203827,0.989159891598916,0.8211574285086479,0.7777777777777778,108.6,91,5383.4,4745,24.2,26,53.0,52
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187,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 1, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'yeo_johnson'}",0.9876103255615127,0.9867724867724867,0.8791891827878047,0.8559208843672739,0.8579827803715039,0.8127209992015513,0.8453160241563669,0.7896857910481889,0.9220405870309436,0.965374580868779,0.9936374673126374,0.9932270501198291,0.7647408982629722,0.7186147186147186,0.995278311289981,0.9966541196152238,0.7206872494530266,0.6287878787878788,0.996375472896738,0.9989520016767973,0.6942565754159957,0.5804195804195804,0.9909157071099024,0.9875673435557397,0.8531654669519847,0.9431818181818182,112.2,83,5388.0,4766,19.6,5,49.4,60
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188,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'yeo_johnson'}",0.9860302656440355,0.9827024827024827,0.8649460777272889,0.8351784294420911,0.8461713033990161,0.8204170756400867,0.834914033984797,0.8113317200510661,0.9026337700286632,0.863322408932921,0.9928242792239658,0.9911115758653143,0.7370678762306121,0.6792452830188679,0.9943319241497942,0.9924191656893953,0.6980106826482381,0.6484149855907781,0.995339915220572,0.9932928107315029,0.6744881527490223,0.6293706293706294,0.9903230433373681,0.9889398998330551,0.8149444967199582,0.7377049180327869,109.0,90,5382.4,4739,25.2,32,52.6,53
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189,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 0.8, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'yeo_johnson'}",0.9869280219785533,0.9865689865689866,0.8763001326976253,0.8555347091932457,0.8613527103869986,0.814922530688772,0.8521808415878034,0.7929726948800518,0.9050037909455038,0.955421936554012,0.9932814075310376,0.9931207004377736,0.7593188578642132,0.717948717948718,0.9944488685799555,0.9963608984816162,0.7282565521940416,0.6334841628959276,0.995228947955915,0.9985328023475163,0.7091327352196918,0.5874125874125874,0.9913426930080359,0.9877669500311009,0.8186648888829717,0.9230769230769231,114.6,84,5381.8,4764,25.8,7,47.0,59
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||||
190,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'yeo_johnson'}",0.9858866132827497,0.9835164835164835,0.8650030578546822,0.8452055343239073,0.8484471242242065,0.8329689456470806,0.838432819606199,0.8253177340370801,0.8976549194888044,0.8678989139515456,0.9927482957618589,0.9915263102835025,0.7372578199475056,0.6988847583643123,0.9940799505450167,0.9925854557640751,0.7028142979033961,0.673352435530086,0.9949700790559686,0.9932928107315029,0.6818955601564297,0.6573426573426573,0.9905382524089305,0.9897660818713451,0.8047715865686783,0.746031746031746,110.2,94,5380.4,4739,27.2,32,51.4,49
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||||
191,CatBoostClassifier,"{'iterations': 500, 'learning_rate': 0.1, 'depth': 8, 'l2_leaf_reg': 3, 'subsample': 1.0, 'loss_function': 'Logloss', 'verbose': False, 'random_seed': 42, 'sampling_method': 'class_weight', 'scaling_method': 'yeo_johnson'}",0.9867124918558847,0.9863654863654864,0.8763060935692055,0.8502218435235476,0.8645769967271869,0.8060361396040803,0.8574628643412587,0.7826927840551818,0.8992122472214948,0.9645093543477004,0.9931670881582635,0.9930201062610688,0.7594450989801474,0.7074235807860262,0.994070409898111,0.9965707594513216,0.7350835835562627,0.6155015197568389,0.9946742142281044,0.9989520016767973,0.7202515144544129,0.5664335664335665,0.9916678816816621,0.9871582435791217,0.8067566127613276,0.9418604651162791,116.4,81,5378.8,4766,28.8,5,45.2,62
|
||||
|
@@ -0,0 +1,201 @@
|
||||
iteration,model,params,avg_val_accuracy,test_accuracy,avg_val_f1_macro,test_f1_macro,avg_val_f2_macro,test_f2_macro,avg_val_recall_macro,test_recall_macro,avg_val_precision_macro,test_precision_macro,avg_val_f1_class0,test_f1_class0,avg_val_f1_class1,test_f1_class1,avg_val_f2_class0,test_f2_class0,avg_val_f2_class1,test_f2_class1,avg_val_recall_class0,test_recall_class0,avg_val_recall_class1,test_recall_class1,avg_val_precision_class0,test_precision_class0,avg_val_precision_class1,test_precision_class1,avg_val_TP,test_TP,avg_val_TN,test_TN,avg_val_FP,test_FP,avg_val_FN,test_FN
|
||||
0,LGBMClassifier,"{'boosting_type': 'gbdt', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight'}, 'learning_rate': 0.2, 'n_jobs': -1, 'num_leaves': 150, 'reg_lambda': 0.1, 'reg_alpha': 0.1, 'colsample_bytree': 1.0, 'subsample': 0.8, 'sampling_method': 'class_weight'}",0.9800327989031355,0.9865689865689866,0.8432734469569239,0.8579034533521438,0.8463273763470681,0.8203934680779092,0.8515899964656558,0.7997561022084183,0.8467708025227314,0.94671748888719,0.9896627823964457,0.9931178310740355,0.6968841115174019,0.7226890756302521,0.9886230584594005,0.9961092749864033,0.7040316942347358,0.6446776611694153,0.9879434313179386,0.9981136030182352,0.7152365616133732,0.6013986013986014,0.9914509724774107,0.9881718198796431,0.7020906325680519,0.9052631578947369,115.6,86,5342.4,4762,65.2,9,46.0,57
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||||
1,LGBMClassifier,"{'boosting_type': 'dart', 'objective': 'binary', 'learning_rate': 0.1, 'n_jobs': -1, 'num_leaves': 50, 'reg_lambda': 0.5, 'reg_alpha': 0.5, 'colsample_bytree': 1.0, 'subsample': 0.6, 'sampling_method': 'KMeansSMOTE'}",0.975723079769937,0.986975986975987,0.8216319970906991,0.8599124452782989,0.8312139643991052,0.8187978416363408,0.8427609530705539,0.7965739982088755,0.8180718957032059,0.9610201119635082,0.9873970638713784,0.9933291640608714,0.6558669303100195,0.7264957264957265,0.9852914597982387,0.9965700422470406,0.6771364689999719,0.6410256410256411,0.9839116001829756,0.9987424020121568,0.701610305958132,0.5944055944055944,0.991004685486673,0.9879742898610823,0.645139105919739,0.9340659340659341,113.4,85,5320.6,4765,87.0,6,48.2,58
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||||
2,LGBMClassifier,"{'boosting_type': 'gbdt', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight'}, 'learning_rate': 0.01, 'n_jobs': -1, 'num_leaves': 31, 'reg_lambda': 0.5, 'reg_alpha': 0.5, 'colsample_bytree': 0.8, 'subsample': 1.0, 'sampling_method': 'class_weight'}",0.9759744907449643,0.9843304843304843,0.828725868202336,0.8201942528194885,0.8524874185311443,0.7719968369422847,0.8765757413066714,0.7477277490901469,0.8064909360166734,0.9596641717978286,0.9875131789920785,0.9919866791549589,0.6699385574125936,0.6484018264840182,0.9842449376662896,0.9961541677117298,0.7207298993959992,0.5478395061728395,0.982098649241669,0.9989520016767973,0.7710528333716741,0.4965034965034965,0.9930948489807564,0.9851178172798677,0.6198870230525906,0.9342105263157895,124.6,71,5310.8,4766,96.8,5,37.0,72
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||||
3,LGBMClassifier,"{'boosting_type': 'dart', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight'}, 'learning_rate': 0.2, 'n_jobs': -1, 'num_leaves': 50, 'reg_lambda': 0.5, 'reg_alpha': 0.5, 'colsample_bytree': 0.8, 'subsample': 0.8, 'sampling_method': 'class_weight'}",0.9815776420702832,0.9863654863654864,0.8455250397471108,0.8527317741939091,0.851180169252375,0.8116037206067368,0.8560545222244521,0.7894761913835484,0.8397679021960645,0.9548922056384743,0.9904940690829267,0.9930171964564878,0.7005560104112949,0.7124463519313304,0.9897826471143268,0.9963192236908148,0.712577691390423,0.6268882175226587,0.9893117129559206,0.9985328023475163,0.7227973314929838,0.5804195804195804,0.9916932758915257,0.9875621890547264,0.6878425285006033,0.9222222222222223,116.8,83,5349.8,4764,57.8,7,44.8,60
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4,LGBMClassifier,"{'boosting_type': 'dart', 'objective': 'binary', 'learning_rate': 0.05, 'n_jobs': -1, 'num_leaves': 50, 'reg_lambda': 0.1, 'reg_alpha': 0.5, 'colsample_bytree': 0.6, 'subsample': 0.8, 'sampling_method': 'KMeansSMOTE'}",0.981181979107866,0.9865689865689866,0.8447637774139004,0.8530835228353733,0.8520423699024633,0.8093836088798947,0.8594935691458339,0.7861892875516854,0.8400523188128688,0.9649457434116999,0.9902816511998156,0.9931235674098771,0.6992459036279851,0.7130434782608696,0.989317617508824,0.9966124377901384,0.7147671222961026,0.622154779969651,0.9886827137843449,0.9989520016767973,0.7303044245073231,0.5734265734265734,0.9919199910379497,0.9873627511912161,0.688184646587788,0.9425287356321839,118.0,82,5346.4,4766,61.2,5,43.6,61
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5,LGBMClassifier,"{'boosting_type': 'gbdt', 'objective': 'binary', 'learning_rate': 0.01, 'n_jobs': -1, 'num_leaves': 50, 'reg_lambda': 0.1, 'reg_alpha': 0, 'colsample_bytree': 1.0, 'subsample': 1.0, 'sampling_method': 'KMeansSMOTE'}",0.9738916604581723,0.9841269841269841,0.8025200050073021,0.8153870162297128,0.8172016877562314,0.7655609827221695,0.8304562261576022,0.7408395419294602,0.786640795675313,0.9649596907692003,0.9864721416756025,0.9918851435705368,0.6185678683390019,0.6388888888888888,0.9842165537635422,0.9962382445141066,0.6501868217489205,0.5348837209302325,0.9827282639860885,0.9991616013414378,0.6781841883291158,0.4825174825174825,0.9902946012147016,0.9847139020863458,0.5829869901359244,0.9452054794520548,109.6,69,5314.2,4767,93.4,4,52.0,74
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||||
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||||
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||||
87,LGBMClassifier,"{'boosting_type': 'dart', 'objective': 'binary', 'learning_rate': 0.01, 'n_jobs': -1, 'num_leaves': 150, 'reg_lambda': 0, 'reg_alpha': 0, 'colsample_bytree': 0.8, 'subsample': 1.0, 'sampling_method': 'KMeansSMOTE', 'scaling_method: minmax_scaling}",0.9813259022680374,0.9820919820919821,0.8395124346889752,0.7754299958454508,0.8404373698274471,0.720675011284033,0.8420797901434776,0.6956993959718756,0.8420992136782448,0.9822719244064453,0.9903722707067996,0.9908599916909016,0.6886525986711506,0.56,0.9900890931050107,0.9961989891817384,0.6907856465498833,0.4451510333863275,0.9899030048709596,0.9997904003353595,0.6942565754159957,0.3916083916083916,0.9908550447139012,0.9820877084620135,0.6933433826425881,0.9824561403508771,112.2,56,5353.0,4770,54.6,1,49.4,87
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||||
89,LGBMClassifier,None,0.9809660621296462,,0.8458061074522728,,0.848533256897951,,0.8559323780099608,,0.8576628101110813,,0.9901557820367267,,0.7014564328678187,,0.9892470808203436,,0.7078194329755582,,0.9886584579343966,,0.7232062980855251,,0.991740186048493,,0.7235854341736694,,116.66666666666667,,5346.333333333333,,61.333333333333336,,44.666666666666664,
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||||
90,LGBMClassifier,"{'boosting_type': 'dart', 'objective': 'binary', 'learning_rate': 0.2, 'n_jobs': -1, 'num_leaves': 50, 'reg_lambda': 0.5, 'reg_alpha': 0.5, 'colsample_bytree': 0.8, 'subsample': 0.8, 'sampling_method': 'KMeansSMOTE', 'scaling_method: quantile_uniform}",0.9780216980830986,0.986975986975987,0.8316234853988821,0.8599124452782989,0.8401537919637171,0.8187978416363408,0.8531145670884624,0.7965739982088755,0.8356202594970554,0.9610201119635082,0.9886040580286041,0.9933291640608714,0.6746429127691598,0.7264957264957265,0.9868604525349468,0.9965700422470406,0.6934471313924874,0.6410256410256411,0.985724571643377,0.9987424020121568,0.7205045625335481,0.5944055944055944,0.9916190386917707,0.9879742898610823,0.6796214803023399,0.9340659340659341,116.4,85,5330.4,4765,77.2,6,45.2,58
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||||
91,LGBMClassifier,"{'boosting_type': 'gbdt', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight', 'scaling_method: quantile_normal}, 'learning_rate': 0.1, 'n_jobs': -1, 'num_leaves': 150, 'reg_lambda': 0.5, 'reg_alpha': 0, 'colsample_bytree': 0.8, 'subsample': 1.0, 'sampling_method': 'class_weight', 'scaling_method: quantile_normal}",0.9710555321472126,0.9857549857549858,0.7861264741371348,0.8428453947368422,0.8004981745658961,0.7987688246606277,0.814685484588815,0.7755949772298546,0.7739567578167632,0.9580792515805245,0.9849883699961517,0.9927083333333333,0.5872645782781177,0.6929824561403509,0.9823993255957115,0.9963199933090787,0.6185970235360809,0.6012176560121766,0.9806937205003814,0.9987424020121568,0.6486772486772486,0.5524475524475524,0.9893870261474017,0.9867467384551667,0.5585264894861245,0.9294117647058824,104.8,79,5303.2,4765,104.4,6,56.8,64
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92,LGBMClassifier,"{'boosting_type': 'gbdt', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight', 'scaling_method: maxabs_scaling}, 'learning_rate': 0.05, 'n_jobs': -1, 'num_leaves': 100, 'reg_lambda': 0, 'reg_alpha': 0, 'colsample_bytree': 1.0, 'subsample': 0.8, 'sampling_method': 'class_weight', 'scaling_method: maxabs_scaling}",0.980895377172879,0.9865689865689866,0.8445271124357397,0.8567291245529467,0.8493880579561346,0.8176664208104449,0.8574305904285762,0.796364398544235,0.8489079783175011,0.9509738977992787,0.9901221682416861,0.9931192660550459,0.6989320566297936,0.7203389830508474,0.9891385979833511,0.9962350972599875,0.709637517928918,0.6390977443609023,0.9884981718854476,0.9983232026828757,0.7263630089717046,0.5944055944055944,0.9918239637155484,0.9879693009749014,0.7059919929194539,0.9139784946236559,117.4,85,5345.4,4763,62.2,8,44.2,58
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93,LGBMClassifier,"{'boosting_type': 'dart', 'objective': 'binary', 'learning_rate': 0.2, 'n_jobs': -1, 'num_leaves': 100, 'reg_lambda': 0, 'reg_alpha': 0, 'colsample_bytree': 1.0, 'subsample': 0.8, 'sampling_method': 'KMeansSMOTE', 'scaling_method: standard_scaling}",0.9770883316951074,0.9863654863654864,0.8254622259274521,0.8527317741939091,0.8387788189752072,0.8116037206067368,0.8525032585043167,0.7894761913835484,0.8146035462264113,0.9548922056384743,0.9881261154813554,0.9930171964564878,0.6627983363735488,0.7124463519313304,0.9860966083759187,0.9963192236908148,0.6914610295744954,0.6268882175226587,0.9847626706778305,0.9985328023475163,0.720243846330803,0.5804195804195804,0.9915869234127271,0.9875621890547264,0.6376201690400953,0.9222222222222223,116.4,83,5325.2,4764,82.4,7,45.2,60
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94,LGBMClassifier,"{'boosting_type': 'dart', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight', 'scaling_method: quantile_normal}, 'learning_rate': 0.05, 'n_jobs': -1, 'num_leaves': 150, 'reg_lambda': 0, 'reg_alpha': 0.5, 'colsample_bytree': 0.8, 'subsample': 1.0, 'sampling_method': 'class_weight', 'scaling_method: quantile_normal}",0.978022104281427,0.9857549857549858,0.8313896828542502,0.844179493916305,0.8576504955404646,0.8015872466872441,0.8793960261683436,0.7789866808940379,0.7990232565217126,0.953244322524878,0.9886242157152412,0.9927068139195666,0.6741551499932592,0.6956521739130435,0.9859002791133198,0.9961942202333653,0.7294007119676092,0.6069802731411229,0.9840968602501906,0.9985328023475163,0.7746951920864964,0.5594405594405595,0.9932150321687863,0.9869484151646986,0.6048314808746389,0.9195402298850575,125.2,80,5321.6,4764,86.0,7,36.4,63
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95,LGBMClassifier,"{'boosting_type': 'dart', 'objective': 'binary', 'learning_rate': 0.1, 'n_jobs': -1, 'num_leaves': 31, 'reg_lambda': 0.5, 'reg_alpha': 0.5, 'colsample_bytree': 0.6, 'subsample': 0.8, 'sampling_method': 'KMeansSMOTE', 'scaling_method: yeo_johnson}",0.970193708245794,0.9863654863654864,0.7937801592955201,0.8527317741939091,0.8291312626160767,0.8116037206067368,0.862759434040702,0.7894761913835484,0.755624504957671,0.9548922056384743,0.9844985714626986,0.9930171964564878,0.6030617471283416,0.7124463519313304,0.9798622486783565,0.9963192236908148,0.678400276553797,0.6268882175226587,0.9768109469097149,0.9985328023475163,0.7487079211716892,0.5804195804195804,0.9923891661652648,0.9875621890547264,0.518859843750077,0.9222222222222223,121.0,83,5282.2,4764,125.4,7,40.6,60
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||||
96,LGBMClassifier,"{'boosting_type': 'gbdt', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight', 'scaling_method: maxabs_scaling}, 'learning_rate': 0.05, 'n_jobs': -1, 'num_leaves': 100, 'reg_lambda': 0.1, 'reg_alpha': 0.1, 'colsample_bytree': 0.6, 'subsample': 0.6, 'sampling_method': 'class_weight', 'scaling_method: maxabs_scaling}",0.9745741316785372,0.9865689865689866,0.8140228315159712,0.8543196878009516,0.8340883837664975,0.8121616449258658,0.8524827192137657,0.7895809912158687,0.7933214412664412,0.9600745182511498,0.9868096176164661,0.9931221342225928,0.6412360454154765,0.7155172413793104,0.9839713162522588,0.9964866786565728,0.6842054512807365,0.6278366111951589,0.9820990938220563,0.9987424020121568,0.722866344605475,0.5804195804195804,0.9916217211574245,0.9875647668393782,0.5950211613754579,0.9325842696629213,116.8,83,5310.8,4765,96.8,6,44.8,60
|
||||
97,LGBMClassifier,"{'boosting_type': 'dart', 'objective': 'binary', 'learning_rate': 0.01, 'n_jobs': -1, 'num_leaves': 31, 'reg_lambda': 0.1, 'reg_alpha': 0, 'colsample_bytree': 0.6, 'subsample': 0.6, 'sampling_method': 'KMeansSMOTE', 'scaling_method: robust_scaling}",0.9687200336048521,0.9820919820919821,0.7936153702957267,0.7797418219157988,0.8145113333492976,0.7270417785074446,0.8386747852497521,0.7024828033002419,0.7803462638825989,0.9666523664591447,0.9836891368506221,0.9908561928512053,0.6035416037408312,0.5686274509803921,0.9794873329743925,0.9959476960354263,0.6495353337242025,0.45813586097946285,0.9767361206106921,0.9993712010060783,0.7006134498888122,0.40559440559440557,0.9908988084700006,0.9824850607871419,0.5697937192951971,0.9508196721311475,113.2,58,5281.8,4768,125.8,3,48.4,85
|
||||
98,LGBMClassifier,"{'boosting_type': 'dart', 'objective': 'binary', 'learning_rate': 0.1, 'n_jobs': -1, 'num_leaves': 150, 'reg_lambda': 0, 'reg_alpha': 0, 'colsample_bytree': 0.6, 'subsample': 0.8, 'sampling_method': 'KMeansSMOTE', 'scaling_method: yeo_johnson}",0.9757590895741461,0.9863654863654864,0.8306305711532695,0.8514876808093439,0.8424455189578607,0.8088285616516482,0.8572649261865767,0.7860844877193651,0.8232091279357544,0.959589157216592,0.9873718875745228,0.9930186516619777,0.6738892547320163,0.70995670995671,0.9847613118629841,0.9964450020911753,0.7001297260527374,0.6212121212121212,0.9830598730770872,0.9987424020121568,0.7314699792960663,0.5734265734265734,0.9918856059775703,0.9873601326150021,0.6545326498939386,0.9318181818181818,118.2,82,5316.0,4765,91.6,6,43.4,61
|
||||
99,LGBMClassifier,"{'boosting_type': 'dart', 'objective': 'binary', 'learning_rate': 0.05, 'n_jobs': -1, 'num_leaves': 150, 'reg_lambda': 0, 'reg_alpha': 0.5, 'colsample_bytree': 0.6, 'subsample': 0.8, 'sampling_method': 'KMeansSMOTE', 'scaling_method: yeo_johnson}",0.9803566163421324,0.9863654863654864,0.8287216718316655,0.8514876808093439,0.826870478670944,0.8088285616516482,0.8265725018855902,0.7860844877193651,0.835832349357525,0.959589157216592,0.9898767867575804,0.9930186516619777,0.6675665569057507,0.70995670995671,0.98984672961169,0.9964450020911753,0.663894227730198,0.6212121212121212,0.9898293071221504,0.9987424020121568,0.66331569664903,0.5734265734265734,0.9899373580453338,0.9873601326150021,0.6817273406697164,0.9318181818181818,107.2,82,5352.6,4765,55.0,6,54.4,61
|
||||
|
769
results/results_lgbm_tuning.csv
Normal file
769
results/results_lgbm_tuning.csv
Normal file
@@ -0,0 +1,769 @@
|
||||
iteration,model,params,avg_val_accuracy,test_accuracy,avg_val_f1_macro,test_f1_macro,avg_val_f2_macro,test_f2_macro,avg_val_recall_macro,test_recall_macro,avg_val_precision_macro,test_precision_macro,avg_val_f1_class0,test_f1_class0,avg_val_f1_class1,test_f1_class1,avg_val_f2_class0,test_f2_class0,avg_val_f2_class1,test_f2_class1,avg_val_recall_class0,test_recall_class0,avg_val_recall_class1,test_recall_class1,avg_val_precision_class0,test_precision_class0,avg_val_precision_class1,test_precision_class1,avg_val_TP,test_TP,avg_val_TN,test_TN,avg_val_FP,test_FP,avg_val_FN,test_FN
|
||||
0,LGBMClassifier,"{'boosting_type': 'gbdt', 'objective': 'binary', 'learning_rate': 0.03, 'n_jobs': -1, 'num_leaves': 100, 'reg_lambda': 0.1, 'reg_alpha': 0.1, 'colsample_bytree': 0.8, 'subsample': 0.8, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'standard_scaling'}",0.9821877261694562,0.9804639804639804,0.8421688904328434,0.8197934445617612,0.8419794631912018,0.8118499382036573,0.8425505318332324,0.8067872182313599,0.8451742730044896,0.8340496638061328,0.9908258590431258,0.9899518526271719,0.6935119218225612,0.6496350364963503,0.9908037434103723,0.9906984539322077,0.6931551829720313,0.6330014224751067,0.9907908113851975,0.9911968140850974,0.6943102522812667,0.6223776223776224,0.9908699842494306,0.9887100146351662,0.699478561759548,0.6793893129770993,112.2,89,5357.8,4729,49.8,42,49.4,54
|
||||
1,LGBMClassifier,"{'boosting_type': 'gbdt', 'objective': 'binary', 'learning_rate': 0.03, 'n_jobs': -1, 'num_leaves': 100, 'reg_lambda': 0.1, 'reg_alpha': 0.1, 'colsample_bytree': 0.8, 'subsample': 0.8, 'sampling_method': 'class_weight', 'scaling_method': 'standard_scaling'}",0.9842345788900018,0.9857549857549858,0.8656089744342926,0.8454905779707063,0.873043025513725,0.8043882221350002,0.8784111705617811,0.7823783845582211,0.8546425228815826,0.9486313093089597,0.991871094376854,0.9927052938724469,0.7393468544917313,0.6982758620689655,0.991200069135213,0.9960684261156887,0.7548859818922369,0.6127080181543116,0.9907537880984872,0.9983232026828757,0.7660685530250747,0.5664335664335665,0.9929937671951418,0.9871502590673575,0.7162912785680234,0.9101123595505618,123.8,81,5357.6,4763,50.0,8,37.8,62
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||||
2,LGBMClassifier,"{'boosting_type': 'gbdt', 'objective': 'binary', 'learning_rate': 0.03, 'n_jobs': -1, 'num_leaves': 100, 'reg_lambda': 0.1, 'reg_alpha': 0.1, 'colsample_bytree': 0.8, 'subsample': 1.0, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'standard_scaling'}",0.9821877261694562,0.9804639804639804,0.8421688904328434,0.8197934445617612,0.8419794631912018,0.8118499382036573,0.8425505318332324,0.8067872182313599,0.8451742730044896,0.8340496638061328,0.9908258590431258,0.9899518526271719,0.6935119218225612,0.6496350364963503,0.9908037434103723,0.9906984539322077,0.6931551829720313,0.6330014224751067,0.9907908113851975,0.9911968140850974,0.6943102522812667,0.6223776223776224,0.9908699842494306,0.9887100146351662,0.699478561759548,0.6793893129770993,112.2,89,5357.8,4729,49.8,42,49.4,54
|
||||
3,LGBMClassifier,"{'boosting_type': 'gbdt', 'objective': 'binary', 'learning_rate': 0.03, 'n_jobs': -1, 'num_leaves': 100, 'reg_lambda': 0.1, 'reg_alpha': 0.1, 'colsample_bytree': 0.8, 'subsample': 1.0, 'sampling_method': 'class_weight', 'scaling_method': 'standard_scaling'}",0.9842345788900018,0.9857549857549858,0.8656089744342926,0.8454905779707063,0.873043025513725,0.8043882221350002,0.8784111705617811,0.7823783845582211,0.8546425228815826,0.9486313093089597,0.991871094376854,0.9927052938724469,0.7393468544917313,0.6982758620689655,0.991200069135213,0.9960684261156887,0.7548859818922369,0.6127080181543116,0.9907537880984872,0.9983232026828757,0.7660685530250747,0.5664335664335665,0.9929937671951418,0.9871502590673575,0.7162912785680234,0.9101123595505618,123.8,81,5357.6,4763,50.0,8,37.8,62
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|
||||
766,LGBMClassifier,"{'boosting_type': 'dart', 'objective': 'binary', 'learning_rate': 0.1, 'n_jobs': -1, 'num_leaves': 100, 'reg_lambda': 0.5, 'reg_alpha': 0.5, 'colsample_bytree': 1.0, 'subsample': 1.0, 'smote_k_neighbors': 10, 'smote_n_clusters': 5, 'sampling_method': 'KMeansSMOTE', 'scaling_method': 'yeo_johnson'}",0.9820080640039615,0.9806674806674807,0.8392402822406231,0.8259854691548499,0.8372381673460142,0.8226450066703659,0.8364662591689699,0.8204588327204131,0.8448751504308785,0.8317220158764839,0.9907360791519727,0.9900492301246465,0.6877444853292736,0.6619217081850534,0.9908789396768315,0.990360435875943,0.6835973950151969,0.6549295774647887,0.9909756131926288,0.9905680150911759,0.6819569051453109,0.6503496503496503,0.9905037121627931,0.9895309882747069,0.6992465886989636,0.6739130434782609,110.2,93,5358.8,4726,48.8,45,51.4,50
|
||||
767,LGBMClassifier,"{'boosting_type': 'dart', 'objective': 'binary', 'learning_rate': 0.1, 'n_jobs': -1, 'num_leaves': 100, 'reg_lambda': 0.5, 'reg_alpha': 0.5, 'colsample_bytree': 1.0, 'subsample': 1.0, 'sampling_method': 'class_weight', 'scaling_method': 'yeo_johnson'}",0.9847733268255633,0.9861619861619861,0.8667880981298841,0.8499051328858289,0.8694997136874327,0.8082749335304329,0.871480053337064,0.7859796878870449,0.8629221029706876,0.9543529137800547,0.9921554662692952,0.9929137140475198,0.7414207299904734,0.7068965517241379,0.9919133579980253,0.9962775523861307,0.7470860693768401,0.6202723146747352,0.991752377205529,0.9985328023475163,0.751207729468599,0.5734265734265734,0.9925606821557992,0.9873575129533678,0.7332835237855763,0.9213483146067416,121.4,82,5363.0,4764,44.6,7,40.2,61
|
||||
|
Can't render this file because it is too large.
|
42
test_no_x.py
Normal file
42
test_no_x.py
Normal file
@@ -0,0 +1,42 @@
|
||||
import pandas
|
||||
|
||||
from models.lightgbm_model import LIGHT_GBM
|
||||
|
||||
data_frame = pandas.read_csv("./data/Ketamine_icp_no_x.csv")
|
||||
|
||||
lgbm_results = pandas.read_csv("./lightgbm_tuning_results_no_x.csv")
|
||||
|
||||
|
||||
def get_best_params(results, metrics=["f2_class1", "f1_class1"]):
|
||||
max_f2 = results[metrics[0]].max()
|
||||
|
||||
best_f2_rows = results[results[metrics[0]] == max_f2]
|
||||
|
||||
best_row = best_f2_rows.loc[best_f2_rows[metrics[1]].idxmax()]
|
||||
|
||||
return best_row.to_dict()
|
||||
|
||||
|
||||
lgbm_best_params = get_best_params(lgbm_results)
|
||||
lgbm_model = LIGHT_GBM(data_frame, params=lgbm_best_params)
|
||||
lgbm_model.fit()
|
||||
lgbm_test_metrics = lgbm_model.eval()
|
||||
print(lgbm_test_metrics)
|
||||
|
||||
|
||||
def clean_metrics(metrics):
|
||||
return {k: float(v) if hasattr(v, "item") else v for k, v in metrics.items()}
|
||||
|
||||
|
||||
lgbm_test_metrics_clean = clean_metrics(lgbm_test_metrics)
|
||||
|
||||
comparison_df = pandas.DataFrame(
|
||||
[
|
||||
{"model": "lightgbm", **lgbm_test_metrics_clean},
|
||||
]
|
||||
)
|
||||
|
||||
comparison_filename = "comparison_catboost_lightgbm_no_x.csv"
|
||||
comparison_df.to_csv(comparison_filename, index=False)
|
||||
|
||||
print(f"Comparison saved to: {comparison_filename}")
|
||||
10
train.py
10
train.py
@@ -43,18 +43,18 @@ def train_model_with_kfold(
|
||||
if smote:
|
||||
if smote_method.lower() == "kmeans":
|
||||
sampler = KMeansSMOTE(
|
||||
k_neighbors=5,
|
||||
k_neighbors=15,
|
||||
cluster_balance_threshold=0.1,
|
||||
random_state=random_state,
|
||||
)
|
||||
elif smote_method.lower() == "smote":
|
||||
sampler = SMOTE(k_neighbors=5, random_state=random_state)
|
||||
sampler = SMOTE(k_neighbors=15, random_state=random_state)
|
||||
elif smote_method.lower() == "svmsmote":
|
||||
sampler = SVMSMOTE(k_neighbors=5, random_state=random_state)
|
||||
sampler = SVMSMOTE(k_neighbors=15, random_state=random_state)
|
||||
elif smote_method.lower() == "borderline":
|
||||
sampler = BorderlineSMOTE(k_neighbors=5, random_state=random_state)
|
||||
sampler = BorderlineSMOTE(k_neighbors=15, random_state=random_state)
|
||||
elif smote_method.lower() == "adasyn":
|
||||
sampler = ADASYN(n_neighbors=5, random_state=random_state)
|
||||
sampler = ADASYN(n_neighbors=15, random_state=random_state)
|
||||
else:
|
||||
raise ValueError(f"Unknown smote_method: {smote_method}")
|
||||
|
||||
|
||||
12
training_part_of_data.py
Normal file
12
training_part_of_data.py
Normal file
@@ -0,0 +1,12 @@
|
||||
import pandas
|
||||
|
||||
from models.lightgbm_model import LIGHT_GBM
|
||||
|
||||
data_frame = pandas.read_csv("../data/Ketamine_icp_no_x.csv")
|
||||
|
||||
model = LIGHT_GBM(
|
||||
data_frame,
|
||||
output_file_tuning="lightgbm_tuning_results_no_x.csv",
|
||||
)
|
||||
|
||||
results = model.tune()
|
||||
107
utils.py
107
utils.py
@@ -40,18 +40,107 @@ def missing_value_handler(data_path):
|
||||
|
||||
missing_value_counts = data_frame_imputed.isna().sum()
|
||||
write_textfile(f"{data_directory}/no_missing.txt", missing_value_counts)
|
||||
|
||||
data_frame_imputed.to_csv("./data/Ketamine_icp_no_missing.csv", index=False)
|
||||
|
||||
return data_frame_imputed
|
||||
|
||||
|
||||
def scaling_handler(data_frame, method="robust_scaling"):
|
||||
if method == "robust_scaling":
|
||||
import pandas
|
||||
from sklearn.preprocessing import RobustScaler
|
||||
import pandas
|
||||
from sklearn.preprocessing import (
|
||||
MaxAbsScaler,
|
||||
MinMaxScaler,
|
||||
PowerTransformer,
|
||||
QuantileTransformer,
|
||||
RobustScaler,
|
||||
StandardScaler,
|
||||
)
|
||||
|
||||
labels = data_frame["label"]
|
||||
# Separate features and label
|
||||
labels = data_frame["label"]
|
||||
X = data_frame.drop("label", axis=1)
|
||||
|
||||
# Choose scaler/transformer
|
||||
if method == "robust_scaling":
|
||||
scaler = RobustScaler()
|
||||
x = data_frame.drop("label", axis=1)
|
||||
x_scale = scaler.fit_transform(x)
|
||||
data_frame_scaled = pandas.DataFrame(x_scale, columns=x.columns)
|
||||
data_frame_scaled["label"] = labels.values
|
||||
return data_frame_scaled
|
||||
elif method == "standard_scaling":
|
||||
scaler = StandardScaler()
|
||||
elif method == "minmax_scaling":
|
||||
scaler = MinMaxScaler()
|
||||
elif method == "maxabs_scaling":
|
||||
scaler = MaxAbsScaler()
|
||||
elif method == "quantile_normal":
|
||||
scaler = QuantileTransformer(output_distribution="normal", random_state=42)
|
||||
elif method == "quantile_uniform":
|
||||
scaler = QuantileTransformer(output_distribution="uniform", random_state=42)
|
||||
elif method == "yeo_johnson":
|
||||
scaler = PowerTransformer(method="yeo-johnson")
|
||||
elif method == "box_cox":
|
||||
# Box-Cox requires all positive values
|
||||
scaler = PowerTransformer(
|
||||
method="box-cox",
|
||||
)
|
||||
X_pos = X.copy()
|
||||
|
||||
min_per_column = X_pos.min()
|
||||
|
||||
for col in X_pos.columns:
|
||||
if min_per_column[col] <= 0:
|
||||
X_pos[col] = X_pos[col] + abs(min_per_column[col]) + 1e-6 # tiny offset
|
||||
|
||||
X = X_pos
|
||||
else:
|
||||
raise ValueError(f"Unknown scaling method: {method}")
|
||||
|
||||
# Fit and transform
|
||||
X_scaled = scaler.fit_transform(X)
|
||||
data_frame_scaled = pandas.DataFrame(X_scaled, columns=X.columns)
|
||||
data_frame_scaled["label"] = labels.values
|
||||
|
||||
return data_frame_scaled
|
||||
|
||||
|
||||
from sklearn.metrics import (
|
||||
accuracy_score,
|
||||
f1_score,
|
||||
fbeta_score,
|
||||
precision_score,
|
||||
recall_score,
|
||||
)
|
||||
|
||||
|
||||
def get_metrics(y_true, y_pred, prefix=""):
|
||||
metrics = {}
|
||||
metrics[f"{prefix}accuracy"] = accuracy_score(y_true, y_pred)
|
||||
metrics[f"{prefix}f1_macro"] = f1_score(y_true, y_pred, average="macro")
|
||||
metrics[f"{prefix}f2_macro"] = fbeta_score(y_true, y_pred, beta=2, average="macro")
|
||||
metrics[f"{prefix}recall_macro"] = recall_score(y_true, y_pred, average="macro")
|
||||
metrics[f"{prefix}precision_macro"] = precision_score(
|
||||
y_true, y_pred, average="macro"
|
||||
)
|
||||
|
||||
# Per-class scores
|
||||
f1_scores = f1_score(y_true, y_pred, average=None, zero_division=0)
|
||||
f2_scores = fbeta_score(y_true, y_pred, beta=2, average=None, zero_division=0)
|
||||
recall_scores = recall_score(y_true, y_pred, average=None, zero_division=0)
|
||||
precision_scores = precision_score(y_true, y_pred, average=None, zero_division=0)
|
||||
|
||||
for i in range(len(f1_scores)):
|
||||
metrics[f"{prefix}f1_class{i}"] = f1_scores[i]
|
||||
metrics[f"{prefix}f2_class{i}"] = f2_scores[i]
|
||||
metrics[f"{prefix}recall_class{i}"] = recall_scores[i]
|
||||
metrics[f"{prefix}precision_class{i}"] = precision_scores[i]
|
||||
|
||||
# Confusion-matrix components
|
||||
TP = sum((y_true == 1) & (y_pred == 1))
|
||||
TN = sum((y_true == 0) & (y_pred == 0))
|
||||
FP = sum((y_true == 0) & (y_pred == 1))
|
||||
FN = sum((y_true == 1) & (y_pred == 0))
|
||||
|
||||
metrics[f"{prefix}TP"] = TP
|
||||
metrics[f"{prefix}TN"] = TN
|
||||
metrics[f"{prefix}FP"] = FP
|
||||
metrics[f"{prefix}FN"] = FN
|
||||
|
||||
return metrics
|
||||
|
||||
Reference in New Issue
Block a user