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LightGBM tuning

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Saeed Khosravi
2025-12-06 00:14:59 +01:00
parent ad01d6a3db
commit 42091d6f24
14 changed files with 1539 additions and 1784 deletions
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LGBM_Tuning.py Normal file
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import itertools
import os
import random
import pandas as pd
import tqdm
from imblearn.over_sampling import KMeansSMOTE
from lightgbm import LGBMClassifier
from sklearn.metrics import (
accuracy_score,
f1_score,
fbeta_score,
precision_score,
recall_score,
)
from sklearn.model_selection import StratifiedKFold, train_test_split
from utils import scaling_handler
RESULTS_FILENAME = "results_lgbm_kmeans_smote_tuning_grid.csv"
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"
)
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)
metrics[f"{prefix}f1_class0"] = f1_scores[0]
metrics[f"{prefix}f1_class1"] = f1_scores[1]
metrics[f"{prefix}f2_class0"] = f2_scores[0]
metrics[f"{prefix}f2_class1"] = f2_scores[1]
metrics[f"{prefix}recall_class0"] = recall_scores[0]
metrics[f"{prefix}recall_class1"] = recall_scores[1]
metrics[f"{prefix}precision_class0"] = precision_scores[0]
metrics[f"{prefix}precision_class1"] = precision_scores[1]
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
try:
data_frame = pd.read_csv("./data/Ketamine_icp_no_missing.csv")
except FileNotFoundError:
print("Please ensure the data file exists at './data/Ketamine_icp_no_missing.csv'")
exit()
random_state = 42
n_split_kfold = 5
scaling_methods_list = [
"standard_scaling",
"robust_scaling",
"minmax_scaling",
"yeo_johnson",
]
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, 0.5]
l1_regularization_alpha_list = [0.1, 0.5]
tree_subsample_tree_list = [0.8, 1.0]
subsample_list = [0.8, 1.0]
is_balanced_list = [True, False]
kmeans_smote_k_neighbors_list = [10]
kmeans_smote_n_clusters_list = [5]
param_combinations = list(
itertools.product(
scaling_methods_list,
boosting_type_list,
learning_rate_list,
number_of_leaves_list,
l2_regularization_lambda_list,
l1_regularization_alpha_list,
tree_subsample_tree_list,
subsample_list,
is_balanced_list,
kmeans_smote_k_neighbors_list,
kmeans_smote_n_clusters_list,
)
)
template_metrics = get_metrics(
pd.Series([0, 1, 0, 1]),
pd.Series([0, 1, 0, 1]),
)
template_cols = ["iteration", "model", "params"]
for k in template_metrics.keys():
template_cols.append(f"avg_val_{k}")
template_cols.append(f"test_{k}")
empty_df = pd.DataFrame(columns=template_cols)
if not os.path.exists(RESULTS_FILENAME):
empty_df.to_csv(RESULTS_FILENAME, index=False)
print(f"Initialized {RESULTS_FILENAME} with headers.")
else:
print(f"File {RESULTS_FILENAME} already exists. Appending to it.")
iteration = 0
for (
scaling_method,
boosting_type,
learning_rate,
num_leaves,
reg_lambda,
reg_alpha,
colsample_bytree,
subsample,
is_balanced,
k_neighbors,
kmeans_estimator,
) in tqdm.tqdm(param_combinations):
skf = StratifiedKFold(
n_splits=n_split_kfold, shuffle=True, random_state=random_state
)
data_frame_scaled = scaling_handler(data_frame, scaling_method)
y = data_frame_scaled["label"]
X = data_frame_scaled.drop(columns=["label"])
x_train_val, x_test, y_train_val, y_test = train_test_split(
X, y, test_size=0.15, stratify=y, random_state=random_state
)
fold_results = []
lgbm_classifier_params = None
sampling_method = "none"
for fold_idx, (train_index, val_index) in enumerate(
skf.split(x_train_val, y_train_val)
):
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]
x_train = x_train_fold
y_train = y_train_fold
lgbm_classifier_params = None
lgbm_base_params = {
"boosting_type": boosting_type,
"objective": "binary",
"learning_rate": learning_rate,
"n_jobs": -1,
"num_leaves": num_leaves,
"reg_lambda": reg_lambda,
"reg_alpha": reg_alpha,
"colsample_bytree": colsample_bytree,
"subsample": subsample,
}
if is_balanced:
sampling_method = "KMeansSMOTE"
smote_params = {
"sampling_strategy": "minority",
"k_neighbors": k_neighbors,
"kmeans_estimator": kmeans_estimator,
"cluster_balance_threshold": 0.001,
"random_state": random_state,
"n_jobs": -1,
}
try:
smote = KMeansSMOTE(**smote_params)
x_train, y_train = smote.fit_resample(x_train_fold, y_train_fold)
lgbm_classifier_params = lgbm_base_params.copy()
except RuntimeError as e:
print(
f"KMeansSMOTE failed with RuntimeError in fold {fold_idx} of iteration {iteration}: {e}. Skipping fold."
)
continue
except ValueError as e:
print(
f"KMeansSMOTE failed with ValueError in fold {fold_idx} of iteration {iteration}: {e}. Skipping fold."
)
continue
else:
sampling_method = "class_weight"
class_1_weight = int(
(y_train_fold.shape[0] - y_train_fold.sum()) / y_train_fold.sum()
)
lgbm_classifier_params = lgbm_base_params.copy()
lgbm_classifier_params["class_weight"] = {0: 1, 1: class_1_weight}
if lgbm_classifier_params:
model = LGBMClassifier(
**lgbm_classifier_params, random_state=random_state, verbose=-1
)
model.fit(x_train, y_train)
y_pred_val = model.predict(x_val)
val_metrics = get_metrics(y_val, y_pred_val)
fold_results.append(val_metrics)
avg_val_metrics = {}
if fold_results:
val_df = pd.DataFrame(fold_results)
avg_val_metrics = val_df.mean().to_dict()
test_metrics = {}
if lgbm_classifier_params:
x_train_final = x_train_val
y_train_final = y_train_val
if is_balanced and sampling_method == "KMeansSMOTE":
try:
smote = KMeansSMOTE(**smote_params)
x_train_final, y_train_final = smote.fit_resample(
x_train_val, y_train_val
)
except (RuntimeError, ValueError) as e:
print(
f"Final KMeansSMOTE failed for iteration {iteration}: {e}. Skipping test evaluation."
)
lgbm_classifier_params = None
if lgbm_classifier_params:
final_lgbm_params = lgbm_base_params.copy()
test_model = LGBMClassifier(
**final_lgbm_params, random_state=random_state, verbose=-1
)
test_model.fit(x_train_final, y_train_final)
y_pred_test = test_model.predict(x_test)
test_metrics = get_metrics(y_test, y_pred_test, prefix="test_")
if lgbm_classifier_params:
params_str = str(lgbm_base_params).replace("}", "")
if is_balanced:
params_str += f", 'smote_k_neighbors': {k_neighbors}, 'smote_n_clusters': {kmeans_estimator}"
final_result_dict = {
"iteration": iteration,
"model": "LGBMClassifier",
"params": params_str
+ f", 'sampling_method': '{sampling_method}', 'scaling_method': '{scaling_method}'}}",
}
for k in template_metrics.keys():
final_result_dict[f"avg_val_{k}"] = avg_val_metrics.get(k, float("nan"))
final_result_dict[f"test_{k}"] = test_metrics.get(f"test_{k}", float("nan"))
result_row_df = pd.DataFrame([final_result_dict])
result_row_df = result_row_df.reindex(columns=template_cols, fill_value=None)
result_row_df.to_csv(RESULTS_FILENAME, mode="a", header=False, index=False)
iteration += 1
print(f"Finished: check {RESULTS_FILENAME}")

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@@ -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
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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,
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
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
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
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
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
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
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
1 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
2 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
3 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
4 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
5 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
6 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
7 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
8 6 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'learning_rate': 0.2, 'n_jobs': -1, 'num_leaves': 100, 'reg_lambda': 0, 'reg_alpha': 0.1, 'colsample_bytree': 0.6, 'subsample': 0.6, 'sampling_method': 'KMeansSMOTE'} 0.9758668095023328 0.9857549857549858 0.8319131959827037 0.8480460411925193 0.83648147809202 0.8099384625546296 0.8470383217819697 0.7891617918865875 0.837126679288301 0.9400137837819753 0.9874143411395636 0.9927022518765638 0.676412050825844 0.7033898305084746 0.9852194107898138 0.9958167747333194 0.6877435453942262 0.6240601503759399 0.9838013579263348 0.9979040033535946 0.7102752856376046 0.5804195804195804 0.9912623666088203 0.9875544492843809 0.6829909919677812 0.8924731182795699 114.8 83 5320.0 4761 87.6 10 46.8 60
9 7 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'learning_rate': 0.05, 'n_jobs': -1, 'num_leaves': 31, 'reg_lambda': 0.1, 'reg_alpha': 0.1, 'colsample_bytree': 0.6, 'subsample': 0.8, 'sampling_method': 'KMeansSMOTE'} 0.9799609404845302 0.9863654863654864 0.8356089261900165 0.8502218435235476 0.8424847836937512 0.8060361396040803 0.849894371275871 0.7826927840551818 0.833324479344755 0.9645093543477004 0.989649616242281 0.9930201062610688 0.6815682361377521 0.7074235807860262 0.9886428417992136 0.9965707594513216 0.696326725588289 0.6155015197568389 0.9879798321921068 0.9989520016767973 0.711808910359635 0.5664335664335665 0.991360609249212 0.9871582435791217 0.6752883494402981 0.9418604651162791 115.0 81 5342.6 4766 65.0 5 46.6 62
10 8 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight'}, 'learning_rate': 0.01, 'n_jobs': -1, 'num_leaves': 50, 'reg_lambda': 0, 'reg_alpha': 0.1, 'colsample_bytree': 1.0, 'subsample': 0.8, 'sampling_method': 'class_weight'} 0.9788835219845173 0.9824989824989825 0.8447608916561954 0.7847476895995307 0.8501664229702659 0.731095666408683 0.8623706346469232 0.7060841066290657 0.8535131525544359 0.9749521168248134 0.9890168583971096 0.9910640066500416 0.700504924915281 0.5784313725490197 0.9872172266340092 0.9961565776830847 0.7131156193065226 0.4660347551342812 0.9860555856806267 0.999580800670719 0.7386856836132198 0.4125874125874126 0.9921751115484485 0.9826911188955285 0.7148511935604234 0.9672131147540983 119.4 59 5332.2 4769 75.4 2 42.2 84
11 9 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight'}, 'learning_rate': 0.05, 'n_jobs': -1, 'num_leaves': 100, 'reg_lambda': 0, 'reg_alpha': 0.1, 'colsample_bytree': 0.6, 'subsample': 0.6, 'sampling_method': 'class_weight'} 0.9745743573442753 0.985958485958486 0.8092059734499498 0.8483357077519362 0.8269453848575201 0.8077227180526358 0.8452822315542703 0.7858748880547246 0.7932616856553801 0.9492330016583748 0.9868134814037737 0.9928087545596664 0.6315984654961262 0.703862660944206 0.9842361467771921 0.9961100886732475 0.6696546229378482 0.6193353474320241 0.9825436058123207 0.9983232026828757 0.7080208572962196 0.5734265734265734 0.9912151660290368 0.9873548922056384 0.5953082052817238 0.9111111111111111 114.4 82 5313.2 4763 94.4 8 47.2 61
12 10 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'learning_rate': 0.05, 'n_jobs': -1, 'num_leaves': 50, 'reg_lambda': 0, 'reg_alpha': 0.5, 'colsample_bytree': 1.0, 'subsample': 0.8, 'sampling_method': 'KMeansSMOTE'} 0.9826543577827115 0.9867724867724867 0.849945187641918 0.857127840635882 0.8505929045312721 0.8154847231608375 0.8517764206155822 0.7930774947123721 0.8517348757306525 0.9605514096185739 0.9910592993829926 0.993225638353309 0.7088310759008433 0.721030042918455 0.9908523507331463 0.9965283587083821 0.7103334583293978 0.6344410876132931 0.990716402307769 0.9987424020121568 0.7128364389233954 0.5874125874125874 0.9914123087311719 0.9877694859038143 0.7120574427301333 0.9333333333333333 115.2 84 5357.4 4765 50.2 6 46.4 59
13 11 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'learning_rate': 0.01, 'n_jobs': -1, 'num_leaves': 31, 'reg_lambda': 0.1, 'reg_alpha': 0.1, 'colsample_bytree': 0.8, 'subsample': 0.8, 'sampling_method': 'KMeansSMOTE'} 0.9778063549406129 0.9845339845339846 0.819159693921654 0.8233176898039513 0.8202611587853837 0.7754476744811455 0.8241231417502857 0.7512242525866504 0.8278968094003802 0.9601932076606461 0.9885315521050252 0.992089925062448 0.6497878357382829 0.6545454545454545 0.987772777417953 0.9961958112119058 0.6527495401528147 0.5546995377503852 0.9872770326762481 0.9989520016767973 0.6609692508243233 0.5034965034965035 0.9898370295531704 0.9853214802563572 0.66595658924759 0.935064935064935 106.8 72 5338.8 4766 68.8 5 54.8 71
14 12 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'learning_rate': 0.2, 'n_jobs': -1, 'num_leaves': 31, 'reg_lambda': 0, 'reg_alpha': 0, 'colsample_bytree': 0.6, 'subsample': 0.6, 'sampling_method': 'KMeansSMOTE'} 0.9753286611928755 0.985958485958486 0.8068220174704093 0.8495951170068601 0.8195597361624015 0.8104921358654731 0.8312341707078776 0.7892665917189078 0.7944642728057574 0.9448654716606857 0.9872364723464141 0.9928072552903159 0.6264075625944046 0.7063829787234043 0.9854123868622864 0.9959842717309462 0.6537070854625167 0.625 0.9842074718505378 0.9981136030182352 0.6782608695652175 0.5804195804195804 0.9903218497784323 0.987557030277893 0.5986066958330827 0.9021739130434783 109.6 83 5322.2 4762 85.4 9 52.0 60
15 13 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'learning_rate': 0.01, 'n_jobs': -1, 'num_leaves': 100, 'reg_lambda': 0.5, 'reg_alpha': 0, 'colsample_bytree': 0.6, 'subsample': 0.6, 'sampling_method': 'KMeansSMOTE'} 0.9835522108311172 0.9837199837199837 0.8602770200263891 0.8089235130232585 0.8600049787250741 0.7585751528706971 0.862452673066857 0.7338465349364531 0.869026427653249 0.9639846097024019 0.9915123948643714 0.9916788017474516 0.7290416451884066 0.6261682242990654 0.9912077541125379 0.9961549713712542 0.7288022033376103 0.52099533437014 0.9910122397768397 0.9991616013414378 0.7338931063568744 0.46853146853146854 0.9920508401945402 0.9843072475738179 0.746002015111958 0.9436619718309859 118.6 67 5359.0 4767 48.6 4 43.0 76
16 14 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': 50, 'reg_lambda': 0, 'reg_alpha': 0, 'colsample_bytree': 1.0, 'subsample': 1.0, 'sampling_method': 'class_weight'} 0.9793503921586959 0.9841269841269841 0.8402869985780738 0.8170426447985184 0.8590347154919163 0.7685353983132772 0.875857602723482 0.7442312455936434 0.8192280190019545 0.959123785906179 0.9893087009336252 0.9918834547346514 0.6912652962225225 0.6422018348623854 0.9871486362937478 0.9961125276930151 0.7309207946900848 0.5409582689335394 0.9857233336579909 0.9989520016767973 0.7659918717889732 0.48951048951048953 0.9929691406462732 0.9849142384790246 0.6454868973576356 0.9333333333333333 123.8 70 5330.4 4766 77.2 5 37.8 73
17 15 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight'}, 'learning_rate': 0.05, 'n_jobs': -1, 'num_leaves': 100, 'reg_lambda': 0.5, 'reg_alpha': 0.1, 'colsample_bytree': 0.8, 'subsample': 0.8, 'sampling_method': 'class_weight'} 0.9769096753540454 0.9861619861619861 0.8305306115188321 0.8499051328858289 0.8419871819743682 0.8082749335304329 0.8584027327809969 0.7859796878870449 0.8275554897742399 0.9543529137800547 0.9879959569540224 0.9929137140475198 0.6730652660836416 0.7068965517241379 0.9857003361077016 0.9962775523861307 0.6982740278410349 0.6202723146747352 0.9842082720952348 0.9985328023475163 0.7325971934667587 0.5734265734265734 0.9919820392345444 0.9873575129533678 0.6631289403139355 0.9213483146067416 118.4 82 5322.2 4764 85.4 7 43.2 61
18 16 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'learning_rate': 0.05, 'n_jobs': -1, 'num_leaves': 31, 'reg_lambda': 0.5, 'reg_alpha': 0.5, 'colsample_bytree': 1.0, 'subsample': 0.8, 'sampling_method': 'KMeansSMOTE'} 0.9836239789834276 0.9863654863654864 0.8608347374408908 0.8539546788327481 0.8667244606339783 0.8143617723634435 0.8715331184096557 0.7928678950477315 0.8540283197096139 0.9504039456837321 0.991554669582802 0.9930157406442197 0.7301148052989794 0.7148936170212766 0.9909396509691547 0.9961934242449594 0.7425092702988019 0.6325301204819277 0.990531921966156 0.9983232026828757 0.7525343148531555 0.5874125874125874 0.9925888897898961 0.9877644131065948 0.7154677496293317 0.9130434782608695 121.6 84 5356.4 4763 51.2 8 40.0 59
19 17 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight'}, 'learning_rate': 0.1, 'n_jobs': -1, 'num_leaves': 50, 'reg_lambda': 0.5, 'reg_alpha': 0.1, 'colsample_bytree': 0.8, 'subsample': 0.6, 'sampling_method': 'class_weight'} 0.9856710509221186 0.9861619861619861 0.8708501970870944 0.8486315083758391 0.8653279919259006 0.8054854277835695 0.8623002704543387 0.7825879842228616 0.8829527667853322 0.959095032968289 0.9926240328003104 0.9929151906647218 0.7490763613738787 0.7043478260869566 0.993009865205196 0.9964033290117519 0.7376461186466056 0.6145675265553869 0.9932685878375939 0.9987424020121568 0.7313319530710836 0.5664335664335665 0.9919869721521029 0.9871555831779574 0.7739185614185614 0.9310344827586207 118.2 81 5371.2 4765 36.4 6 43.4 62
20 18 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'learning_rate': 0.1, 'n_jobs': -1, 'num_leaves': 100, 'reg_lambda': 0.5, 'reg_alpha': 0, 'colsample_bytree': 0.6, 'subsample': 0.6, 'sampling_method': 'KMeansSMOTE'} 0.9801044509987804 0.9865689865689866 0.8420089722217277 0.8543196878009516 0.8496888640114886 0.8121616449258658 0.858919795063265 0.7895809912158687 0.8405709518832005 0.9600745182511498 0.9897089913626296 0.9931221342225928 0.6943089530808259 0.7155172413793104 0.9884199250461327 0.9964866786565728 0.7109578029768443 0.6278366111951589 0.9875735062372577 0.9987424020121568 0.7302660838892723 0.5804195804195804 0.9919101471927126 0.9875647668393782 0.6892317565736887 0.9325842696629213 118.0 83 5340.4 4765 67.2 6 43.6 60
21 19 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight'}, 'learning_rate': 0.05, 'n_jobs': -1, 'num_leaves': 100, 'reg_lambda': 0, 'reg_alpha': 0.1, 'colsample_bytree': 1.0, 'subsample': 0.8, 'sampling_method': 'class_weight'} 0.9795665476978387 0.985958485958486 0.833472334827724 0.8470544772514138 0.837481653808771 0.8049361241017452 0.8429853406053864 0.7824831843905413 0.835613358393393 0.953803733564405 0.9894418044336086 0.9928102532041263 0.6775028652218393 0.7012987012987013 0.988559172873311 0.9962358845671268 0.686404134744231 0.6136363636363636 0.9879797295966328 0.9985328023475163 0.69799095161414 0.5664335664335665 0.9909491929127746 0.9871529216742644 0.6802775238740113 0.9204545454545454 112.8 81 5342.6 4764 65.0 7 48.8 62
22 20 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'learning_rate': 0.2, 'n_jobs': -1, 'num_leaves': 150, 'reg_lambda': 0.1, 'reg_alpha': 0.5, 'colsample_bytree': 0.8, 'subsample': 1.0, 'sampling_method': 'KMeansSMOTE'} 0.9782012635347057 0.9867724867724867 0.8402680364699148 0.8606274361618155 0.8618062322442824 0.8236742772508703 0.8831695692228163 0.8032526057049219 0.8194550981790247 0.9473134599418847 0.9886870886151918 0.9932213995202837 0.6918489843246378 0.7280334728033473 0.9858959521421191 0.9961509497113212 0.737716512346446 0.6511976047904192 0.9840601721086955 0.9981136030182352 0.7822789663369374 0.6083916083916084 0.9934416007720971 0.9883769198837692 0.6454685955859523 0.90625 126.4 87 5321.4 4762 86.2 9 35.2 56
23 21 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'learning_rate': 0.05, 'n_jobs': -1, 'num_leaves': 100, 'reg_lambda': 0.5, 'reg_alpha': 0.5, 'colsample_bytree': 0.8, 'subsample': 0.6, 'sampling_method': 'KMeansSMOTE'} 0.9852042258810878 0.9861619861619861 0.8639604348790855 0.8499051328858289 0.8533117346571573 0.8082749335304329 0.8471015742051444 0.7859796878870449 0.8860863426985492 0.9543529137800547 0.9923881829832812 0.9929137140475198 0.7355326867748897 0.7068965517241379 0.9931814914831364 0.9962775523861307 0.7134419778311781 0.6202723146747352 0.993712388499239 0.9985328023475163 0.7004907599110497 0.5734265734265734 0.9910740593212555 0.9873575129533678 0.781098626075843 0.9213483146067416 113.2 82 5373.6 4764 34.0 7 48.4 61
24 22 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight'}, 'learning_rate': 0.05, 'n_jobs': -1, 'num_leaves': 31, 'reg_lambda': 0.1, 'reg_alpha': 0.1, 'colsample_bytree': 0.6, 'subsample': 0.8, 'sampling_method': 'class_weight'} 0.9737840694818359 0.9863654863654864 0.817168185953502 0.8502218435235476 0.8416749584884711 0.8060361396040803 0.868173678426943 0.7826927840551818 0.7957068559492184 0.9645093543477004 0.9863559756445911 0.9930201062610688 0.6479803962624132 0.7074235807860262 0.9826882918844838 0.9965707594513216 0.7006616250924583 0.6155015197568389 0.9802857051400606 0.9989520016767973 0.7560616517138257 0.5664335664335665 0.9926451453538612 0.9871582435791217 0.5987685665445757 0.9418604651162791 122.2 81 5301.0 4766 106.6 5 39.4 62
25 23 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight'}, 'learning_rate': 0.01, 'n_jobs': -1, 'num_leaves': 100, 'reg_lambda': 0.1, 'reg_alpha': 0.1, 'colsample_bytree': 0.6, 'subsample': 1.0, 'sampling_method': 'class_weight'} 0.9834444070842279 0.9814814814814815 0.8602389045576725 0.7643112053030954 0.8624134585731081 0.7096984283882841 0.866001592211749 0.685209885482365 0.863989443938106 0.9814814814814815 0.9914573444694346 0.9905513446163431 0.7290204646459103 0.5380710659898477 0.9909872811479705 0.9960741730704978 0.7338396359982459 0.4233226837060703 0.9906796662883857 0.9997904003353595 0.7413235181351123 0.3706293706293706 0.992264004751695 0.9814814814814815 0.7357148831245169 0.9814814814814815 119.8 53 5357.2 4770 50.4 1 41.8 90
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29 27 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight'}, 'learning_rate': 0.01, 'n_jobs': -1, 'num_leaves': 50, 'reg_lambda': 0, 'reg_alpha': 0, 'colsample_bytree': 0.8, 'subsample': 0.8, 'sampling_method': 'class_weight'} 0.9611066325417088 0.9822954822954822 0.7712307310796878 0.7790635479504937 0.817046847732696 0.7243107769423559 0.8682324957366502 0.699195899468379 0.729363987143419 0.9825242856331307 0.9796070399350946 0.9909629167965098 0.5628544222242808 0.5671641791044776 0.9718737135465391 0.9962406015037594 0.6622199819188531 0.4523809523809524 0.9668230928458945 0.9997904003353595 0.769641898627406 0.3986013986013986 0.9929360033717813 0.9822899505766063 0.46579197091505664 0.9827586206896551 124.4 57 5228.2 4770 179.4 1 37.2 86
30 28 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight'}, 'learning_rate': 0.1, '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'} 0.9854198140320889 0.9861619861619861 0.8628700872045864 0.8511569731081927 0.8481203266691288 0.8110472197412031 0.839409197792252 0.789371391551228 0.8931420712488383 0.9498237611445158 0.992504343432065 0.9929122368146759 0.7332358309771076 0.7094017094017094 0.9936494405022156 0.9961517547161919 0.7025912128360423 0.6259426847662142 0.9944153590075542 0.9983232026828757 0.6844030365769496 0.5804195804195804 0.9906058689063633 0.9875596102011196 0.795678273591313 0.9120879120879121 110.6 83 5377.4 4763 30.2 8 51.0 60
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35 33 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': 0.1, 'reg_alpha': 0.5, 'colsample_bytree': 1.0, 'subsample': 0.8, 'sampling_method': 'class_weight'} 0.975040743949015 0.9863654863654864 0.8161918817182515 0.8539546788327481 0.8312903845355569 0.8143617723634435 0.8466699965148947 0.7928678950477315 0.8050841820304886 0.9504039456837321 0.9870543968762087 0.9930157406442197 0.6453293665602944 0.7148936170212766 0.9845794552844787 0.9961934242449594 0.6780013137866352 0.6325301204819277 0.9829496855380327 0.9983232026828757 0.7103903074917568 0.5874125874125874 0.9912617079722649 0.9877644131065948 0.6189066560887124 0.9130434782608695 114.8 84 5315.4 4763 92.2 8 46.8 59
36 34 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight'}, 'learning_rate': 0.01, 'n_jobs': -1, 'num_leaves': 100, 'reg_lambda': 0, 'reg_alpha': 0.1, 'colsample_bytree': 0.6, 'subsample': 1.0, 'sampling_method': 'class_weight'} 0.9825465991689699 0.9814814814814815 0.8517671502061838 0.7643112053030954 0.8539696866817653 0.7096984283882841 0.8565303712466046 0.685209885482365 0.8518804595157151 0.9814814814814815 0.9909978003442761 0.9905513446163431 0.7125365000680914 0.5380710659898477 0.990582939984268 0.9960741730704978 0.7173564333792625 0.4233226837060703 0.9903094197418862 0.9997904003353595 0.7227513227513227 0.3706293706293706 0.9917015208248167 0.9814814814814815 0.7120593982066139 0.9814814814814815 116.8 53 5355.2 4770 52.4 1 44.8 90
37 35 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight'}, 'learning_rate': 0.1, 'n_jobs': -1, 'num_leaves': 50, 'reg_lambda': 0.5, 'reg_alpha': 0.1, 'colsample_bytree': 0.8, 'subsample': 1.0, 'sampling_method': 'class_weight'} 0.9850607411572074 0.9861619861619861 0.868817897312389 0.8486315083758391 0.8702329203068391 0.8054854277835695 0.8727757012414509 0.7825879842228616 0.8723180777825655 0.959095032968289 0.9923020945180289 0.9929151906647218 0.7453337001067493 0.7043478260869566 0.9921030392530057 0.9964033290117519 0.7483628013606728 0.6145675265553869 0.9919742228187655 0.9987424020121568 0.7535771796641362 0.5664335664335665 0.9926494795475849 0.9871555831779574 0.7519866760175462 0.9310344827586207 121.8 81 5364.2 4765 43.4 6 39.8 62
38 36 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'learning_rate': 0.2, 'n_jobs': -1, 'num_leaves': 100, 'reg_lambda': 0.5, 'reg_alpha': 0.1, 'colsample_bytree': 0.8, 'subsample': 1.0, 'sampling_method': 'KMeansSMOTE'} 0.9800326699512851 0.9867724867724867 0.8514616286019562 0.857127840635882 0.8508296244585093 0.8154847231608375 0.8589020617802996 0.7930774947123721 0.8695561580759836 0.9605514096185739 0.9896178022723939 0.993225638353309 0.7133054549315188 0.721030042918455 0.9883247835209182 0.9965283587083821 0.7133344653961003 0.6344410876132931 0.9874996990532765 0.9987424020121568 0.730304424507323 0.5874125874125874 0.9919266457856489 0.9877694859038143 0.7471856703663183 0.9333333333333333 118.0 84 5340.0 4765 67.6 6 43.6 59
39 37 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'learning_rate': 0.2, 'n_jobs': -1, 'num_leaves': 150, 'reg_lambda': 0.5, 'reg_alpha': 0, 'colsample_bytree': 0.6, 'subsample': 0.6, 'sampling_method': 'KMeansSMOTE'} 0.979243071981245 0.9865689865689866 0.8358725858453011 0.8530835228353733 0.8446517447918371 0.8093836088798947 0.8555089131605096 0.7861892875516854 0.832148656012319 0.9649457434116999 0.9892552692588403 0.9931235674098771 0.6824899024317619 0.7130434782608696 0.9878137889175391 0.9966124377901384 0.7014897006661349 0.622154779969651 0.9868709050726485 0.9989520016767973 0.7241469212483705 0.5734265734265734 0.9917322461669184 0.9873627511912161 0.6725650658577199 0.9425287356321839 117.0 82 5336.6 4766 71.0 5 44.6 61
40 38 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight'}, 'learning_rate': 0.01, 'n_jobs': -1, 'num_leaves': 100, 'reg_lambda': 0.5, 'reg_alpha': 0.5, 'colsample_bytree': 1.0, 'subsample': 0.8, 'sampling_method': 'class_weight'} 0.9760822171207437 0.9806674806674807 0.8251753784839737 0.7539512582834512 0.8457815839630326 0.7015023873596432 0.8658029778869931 0.6780072788247176 0.805741672722075 0.9627572016460906 0.9875878217138215 0.9901360191049735 0.6627629352541264 0.5177664974619289 0.9847459461329799 0.9956565319077848 0.7068172217930851 0.4073482428115016 0.9828750302314664 0.9993712010060783 0.7487309255425197 0.35664335664335667 0.9924213894008516 0.9810699588477366 0.6190619560432982 0.9444444444444444 121.0 51 5315.0 4768 92.6 3 40.6 92
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42 40 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': 0.5, 'reg_alpha': 0.5, 'colsample_bytree': 1.0, 'subsample': 0.8, 'sampling_method': 'class_weight'} 0.9852041743003476 0.9867724867724867 0.8692216681728684 0.8583142406586364 0.8632343130038611 0.818231408861414 0.8609276639087797 0.7964691983765553 0.8853974862581342 0.9559424197067787 0.9923766957485582 0.9932242259981237 0.7460666405971785 0.723404255319149 0.9926653187471741 0.9964025767589726 0.7338033072605483 0.6400602409638554 0.9928621524475723 0.9985328023475163 0.728993175369987 0.5944055944055944 0.9919134384656761 0.9879717959352966 0.7788815340505925 0.9239130434782609 117.8 85 5369.0 4764 38.6 7 43.8 58
43 41 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': 31, 'reg_lambda': 0.1, 'reg_alpha': 0.1, 'colsample_bytree': 1.0, 'subsample': 0.6, 'sampling_method': 'class_weight'} 0.9835883624823618 0.986975986975987 0.8597404390574596 0.8622094093111696 0.8650409089236865 0.8242461833970267 0.8702403740759765 0.8033574055372421 0.8569045349274417 0.9520844027478949 0.9915364587708535 0.9933263816475495 0.7279444193440654 0.7310924369747899 0.9909534448216443 0.9963184537505753 0.7391283730257288 0.6521739130434783 0.9905689315734699 0.9983232026828757 0.7499118165784833 0.6083916083916084 0.9925248944511067 0.9883793318115792 0.7212841754037768 0.9157894736842105 121.2 87 5356.6 4763 51.0 8 40.4 56
44 42 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight'}, 'learning_rate': 0.01, 'n_jobs': -1, 'num_leaves': 100, 'reg_lambda': 0, 'reg_alpha': 0, 'colsample_bytree': 1.0, 'subsample': 1.0, 'sampling_method': 'class_weight'} 0.9739996769756148 0.9820919820919821 0.8084483808617705 0.7776072641546307 0.8347769640785593 0.7238686892311937 0.8586777683887398 0.6990910996360588 0.7805865044356806 0.9741939988479464 0.9865164099133359 0.990858092665697 0.6303803518102049 0.5643564356435643 0.9832537212719247 0.9960733531058106 0.6863002068851943 0.45166402535657685 0.9811006483486778 0.999580800670719 0.7362548884288015 0.3986013986013986 0.9920442868467664 0.9822863027806386 0.5691287220245946 0.9661016949152542 119.0 57 5305.4 4769 102.2 2 42.6 86
45 43 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'learning_rate': 0.05, 'n_jobs': -1, 'num_leaves': 31, 'reg_lambda': 0, 'reg_alpha': 0, 'colsample_bytree': 1.0, 'subsample': 0.8, 'sampling_method': 'KMeansSMOTE'} 0.9765495515215834 0.9863654863654864 0.8206999265210883 0.8527317741939091 0.8374515209736175 0.8116037206067368 0.8552808108982761 0.7894761913835484 0.8079795400150116 0.9548922056384743 0.9878475910636657 0.9930171964564878 0.6535522619785109 0.7124463519313304 0.9855384799772274 0.9963192236908148 0.6893645619700077 0.6268882175226587 0.984022245981814 0.9985328023475163 0.7265393758147382 0.5804195804195804 0.9917911025411333 0.9875621890547264 0.6241679774888897 0.9222222222222223 117.4 83 5321.2 4764 86.4 7 44.2 60
46 44 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'learning_rate': 0.1, 'n_jobs': -1, 'num_leaves': 50, 'reg_lambda': 0, 'reg_alpha': 0.5, 'colsample_bytree': 1.0, 'subsample': 1.0, 'sampling_method': 'KMeansSMOTE'} 0.9847732172164905 0.9863654863654864 0.8647118728266638 0.8551569311419329 0.860680821838655 0.8171028709432324 0.8594389288431618 0.7962595987119148 0.8777617959751638 0.9461110620640947 0.9921569050784171 0.9930142842247941 0.7372668405749107 0.7172995780590717 0.992355773279207 0.9960676037483266 0.7290058703981034 0.6381381381381381 0.9924918443437883 0.9981136030182352 0.726386013342535 0.5944055944055944 0.9918394321108746 0.9879668049792532 0.763684159839453 0.9042553191489362 117.4 85 5367.0 4762 40.6 9 44.2 58
47 45 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'learning_rate': 0.05, 'n_jobs': -1, 'num_leaves': 31, 'reg_lambda': 0, 'reg_alpha': 0.1, 'colsample_bytree': 1.0, 'subsample': 0.6, 'sampling_method': 'KMeansSMOTE'} 0.9828338845487636 0.9863654863654864 0.8561208265236097 0.8539546788327481 0.8649943256664697 0.8143617723634435 0.8723352783994883 0.7928678950477315 0.8463819971433422 0.9504039456837321 0.9911428371503679 0.9930157406442197 0.7210988158968515 0.7148936170212766 0.9902414393972403 0.9961934242449594 0.7397472119356989 0.6325301204819277 0.9896441017725215 0.9983232026828757 0.755026455026455 0.5874125874125874 0.9926596186791977 0.9877644131065948 0.7001043756074867 0.9130434782608695 122.0 84 5351.6 4763 56.0 8 39.6 59
48 46 LGBMClassifier {'boosting_type': 'dart', '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': 0.1, 'colsample_bytree': 1.0, 'subsample': 0.8, 'sampling_method': 'class_weight'} 0.9679300810172238 0.9824989824989825 0.7952942290206816 0.7887993762993764 0.8273801114521687 0.7373560714136489 0.8639081095856845 0.7128675139574322 0.7688458444575809 0.9607754176118788 0.983241249137411 0.991060291060291 0.6073472089039522 0.5865384615384616 0.9778521526897522 0.9959052354489617 0.6769080702145853 0.478806907378336 0.9743310569905546 0.9991616013414378 0.7534851621808144 0.42657342657342656 0.992522880919152 0.983089296762219 0.5451688079960098 0.9384615384615385 121.8 61 5268.8 4767 138.8 4 39.8 82
49 47 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight'}, 'learning_rate': 0.05, 'n_jobs': -1, 'num_leaves': 31, 'reg_lambda': 0.1, 'reg_alpha': 0.5, 'colsample_bytree': 0.6, 'subsample': 1.0, 'sampling_method': 'class_weight'} 0.9789193448085436 0.9863654863654864 0.837705367687344 0.8502218435235476 0.8508867768038941 0.8060361396040803 0.8654793826086333 0.7826927840551818 0.8318927534510326 0.9645093543477004 0.9890808663298263 0.9930201062610688 0.6863298690448618 0.7074235807860262 0.9871661314359388 0.9965707594513216 0.7146074221718492 0.6155015197568389 0.9859085390076201 0.9989520016767973 0.7450502262096466 0.5664335664335665 0.9923491792093453 0.9871582435791217 0.67143632769272 0.9418604651162791 120.4 81 5331.4 4766 76.2 5 41.2 62
50 48 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight'}, 'learning_rate': 0.05, 'n_jobs': -1, 'num_leaves': 31, 'reg_lambda': 0, 'reg_alpha': 0.1, 'colsample_bytree': 0.6, 'subsample': 0.6, 'sampling_method': 'class_weight'} 0.9745746539335312 0.985958485958486 0.8152329458663532 0.8495951170068601 0.8376647715845401 0.8104921358654731 0.8602749745076448 0.7892665917189078 0.7943837767213261 0.9448654716606857 0.9867984785223628 0.9928072552903159 0.6436674132103434 0.7063829787234043 0.9836729947705309 0.9959842717309462 0.691656548398549 0.625 0.9816188854465446 0.9981136030182352 0.7389310635687447 0.5804195804195804 0.9921294843557245 0.987557030277893 0.5966380690869275 0.9021739130434783 119.4 83 5308.2 4762 99.4 9 42.2 60
51 49 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': 31, 'reg_lambda': 0, 'reg_alpha': 0.1, 'colsample_bytree': 0.8, 'subsample': 1.0, 'sampling_method': 'class_weight'} 0.9848451272158363 0.9849409849409849 0.8624471903698236 0.8406796295160399 0.85154157165027 0.8049826068014396 0.8457113578884797 0.7853508888931232 0.887104572542715 0.9252498334443704 0.9921989368235614 0.9922836287799791 0.7326954439160854 0.6890756302521008 0.9929273171466184 0.995272559929716 0.7101558261539214 0.6146926536731634 0.9934164279155991 0.997275204359673 0.6980062878613603 0.5734265734265734 0.9909990498316572 0.9873417721518988 0.7832100952537727 0.8631578947368421 112.8 82 5372.0 4758 35.6 13 48.8 61
52 50 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight'}, 'learning_rate': 0.05, 'n_jobs': -1, 'num_leaves': 31, 'reg_lambda': 0.5, 'reg_alpha': 0.5, 'colsample_bytree': 1.0, 'subsample': 1.0, 'sampling_method': 'class_weight'} 0.983121189271335 0.9863654863654864 0.859543085972005 0.8539546788327481 0.8679674127144802 0.8143617723634435 0.8754618934155708 0.7928678950477315 0.851818223020641 0.9504039456837321 0.9912879525085195 0.9930157406442197 0.7277982194354904 0.7148936170212766 0.9903653078402751 0.9961934242449594 0.7455695175886851 0.6325301204819277 0.9897551647929541 0.9983232026828757 0.7611686220381872 0.5874125874125874 0.992845649209676 0.9877644131065948 0.7107907968316061 0.9130434782608695 123.0 84 5352.2 4763 55.4 8 38.6 59
53 51 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'learning_rate': 0.05, 'n_jobs': -1, 'num_leaves': 31, 'reg_lambda': 0.5, 'reg_alpha': 0.1, 'colsample_bytree': 1.0, 'subsample': 1.0, 'sampling_method': 'KMeansSMOTE'} 0.9836241337256478 0.9863654863654864 0.8579034779743866 0.8539546788327481 0.8628328801676413 0.8143617723634435 0.8666506591398537 0.7928678950477315 0.8516030673314285 0.9504039456837321 0.9915607472436827 0.9930157406442197 0.7242462087050904 0.7148936170212766 0.9911200777938605 0.9961934242449594 0.734545682541422 0.6325301204819277 0.990827581603072 0.9983232026828757 0.7424737366766352 0.5874125874125874 0.9923003492691255 0.9877644131065948 0.7109057853937317 0.9130434782608695 120.0 84 5358.0 4763 49.6 8 41.6 59
54 52 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight'}, 'learning_rate': 0.01, 'n_jobs': -1, 'num_leaves': 150, 'reg_lambda': 0, 'reg_alpha': 0.1, 'colsample_bytree': 1.0, 'subsample': 0.8, 'sampling_method': 'class_weight'} 0.9794221667585985 0.9820919820919821 0.8398704248620904 0.7776072641546307 0.8475402265493486 0.7238686892311937 0.8566988789647919 0.6990910996360588 0.8385018846764979 0.9741939988479464 0.9893480718333789 0.990858092665697 0.6903927778908019 0.5643564356435643 0.9879196696990558 0.9960733531058106 0.7071607833996413 0.45166402535657685 0.9869810720926084 0.999580800670719 0.7264166858369757 0.3986013986013986 0.9917843114683901 0.9822863027806386 0.6852194578846053 0.9661016949152542 117.4 57 5337.2 4769 70.4 2 44.2 86
55 53 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight'}, 'learning_rate': 0.1, 'n_jobs': -1, 'num_leaves': 150, 'reg_lambda': 0.1, 'reg_alpha': 0, 'colsample_bytree': 0.8, 'subsample': 0.8, 'sampling_method': 'class_weight'} 0.9865329328518702 0.9863654863654864 0.8747713391863048 0.8527317741939091 0.8632862311474779 0.8116037206067368 0.8561766092511605 0.7894761913835484 0.8964912118844504 0.9548922056384743 0.9930747984215499 0.9930171964564878 0.7564678799510596 0.7124463519313304 0.9939670958432105 0.9963192236908148 0.7326053664517456 0.6268882175226587 0.9945631717267667 0.9985328023475163 0.717790046775554 0.5804195804195804 0.9915924581787445 0.9875621890547264 0.8013899655901564 0.9222222222222223 116.0 83 5378.2 4764 29.4 7 45.6 60
56 54 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight'}, 'learning_rate': 0.05, 'n_jobs': -1, 'num_leaves': 100, 'reg_lambda': 0.5, 'reg_alpha': 0, 'colsample_bytree': 1.0, 'subsample': 1.0, 'sampling_method': 'class_weight'} 0.9792068171685203 0.986975986975987 0.8330412777830803 0.8599124452782989 0.8419990612535813 0.8187978416363408 0.8506155282945832 0.7965739982088755 0.8245714893533066 0.9610201119635082 0.9892495155395687 0.9933291640608714 0.676833040026592 0.7264957264957265 0.9879715591300912 0.9965700422470406 0.6960265633770713 0.6410256410256411 0.9871293772700959 0.9987424020121568 0.7141016793190706 0.5944055944055944 0.9914194200028726 0.9879742898610823 0.6577235587037404 0.9340659340659341 115.4 85 5338.0 4765 69.6 6 46.2 58
57 55 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': 0.1, 'reg_alpha': 0.5, 'colsample_bytree': 0.8, 'subsample': 1.0, 'sampling_method': 'class_weight'} 0.9815058803655656 0.9867724867724867 0.8410945157084599 0.8583142406586364 0.8384430176516346 0.818231408861414 0.8380116249634064 0.7964691983765553 0.850731495920515 0.9559424197067787 0.9904637934403304 0.9932242259981237 0.6917252379765892 0.723404255319149 0.9903916606344726 0.9964025767589726 0.6864943746687965 0.6400602409638554 0.9903473048305779 0.9985328023475163 0.685675945096235 0.5944055944055944 0.9905989961896843 0.9879717959352966 0.7108639956513457 0.9239130434782609 110.8 85 5355.4 4764 52.2 7 50.8 58
58 56 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight'}, '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'} 0.9826904771959935 0.9863654863654864 0.8550519132157808 0.8551569311419329 0.8572349748150397 0.8171028709432324 0.8614525928237752 0.7962595987119148 0.8587974541869275 0.9461110620640947 0.9910627387748152 0.9930142842247941 0.7190410876567466 0.7172995780590717 0.9905172826857891 0.9960676037483266 0.7239526669442901 0.6381381381381381 0.9901622978321989 0.9981136030182352 0.7327428878153517 0.5944055944055944 0.9920070724547438 0.9879668049792532 0.7255878359191112 0.9042553191489362 118.4 85 5354.4 4762 53.2 9 43.2 58
59 57 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'learning_rate': 0.01, 'n_jobs': -1, 'num_leaves': 31, 'reg_lambda': 0.1, 'reg_alpha': 0.5, 'colsample_bytree': 0.8, 'subsample': 1.0, 'sampling_method': 'KMeansSMOTE'} 0.9792785401876831 0.9845339845339846 0.832688089767552 0.8233176898039513 0.8356988809669288 0.7754476744811455 0.839862528872467 0.7512242525866504 0.8342246588684258 0.9601932076606461 0.9892903131450558 0.992089925062448 0.6760858663900482 0.6545454545454545 0.9884326339605692 0.9961958112119058 0.682965127973288 0.5546995377503852 0.9878686050189158 0.9989520016767973 0.6918564527260179 0.5034965034965035 0.9907512105594206 0.9853214802563572 0.6776981071774314 0.935064935064935 111.8 72 5342.0 4766 65.6 5 49.8 71
60 58 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'learning_rate': 0.2, 'n_jobs': -1, 'num_leaves': 150, 'reg_lambda': 0, 'reg_alpha': 0.5, 'colsample_bytree': 0.6, 'subsample': 0.8, 'sampling_method': 'KMeansSMOTE'} 0.9800326763988778 0.9861619861619861 0.847138959125622 0.8486315083758391 0.8609900407751784 0.8054854277835695 0.8757179156300573 0.7825879842228616 0.8374507609998385 0.959095032968289 0.9896538413890468 0.9929151906647218 0.7046240768621969 0.7043478260869566 0.9877283860705408 0.9964033290117519 0.7342516954798158 0.6145675265553869 0.986463819911292 0.9987424020121568 0.7649720113488229 0.5664335664335665 0.9929412148036599 0.9871555831779574 0.6819603071960174 0.9310344827586207 123.6 81 5334.4 4765 73.2 6 38.0 62
61 59 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'} 0.9780938788813298 0.9865689865689866 0.8289198813305813 0.8579034533521438 0.8314595370165462 0.8203934680779092 0.839909083785092 0.7997561022084183 0.8391971118783708 0.94671748888719 0.9886439987908148 0.9931178310740355 0.6691957638703478 0.7226890756302521 0.9874085745084045 0.9961092749864033 0.6755104995246878 0.6446776611694153 0.9866121250887794 0.9981136030182352 0.6932060424814048 0.6013986013986014 0.9908154954782556 0.9881718198796431 0.687578728278486 0.9052631578947369 112.0 86 5335.2 4762 72.4 9 49.6 57
62 60 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight'}, 'learning_rate': 0.05, 'n_jobs': -1, 'num_leaves': 31, 'reg_lambda': 0.5, 'reg_alpha': 0, 'colsample_bytree': 0.8, 'subsample': 0.6, 'sampling_method': 'class_weight'} 0.975543578794255 0.9861619861619861 0.83647441478055 0.852387582872733 0.8489261444865839 0.8138024416825372 0.8684617564413741 0.7927630952154112 0.8343508941889753 0.945493840790627 0.9872161836741637 0.9929107589658048 0.6857326458869364 0.711864406779661 0.9841308416696052 0.9960259359966535 0.7137214473035626 0.631578947368421 0.9821347696882082 0.9981136030182352 0.7547887431945404 0.5874125874125874 0.9926151655846338 0.9877618751296412 0.6760866227933169 0.9032258064516129 122.0 84 5311.0 4762 96.6 9 39.6 59
63 61 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight'}, 'learning_rate': 0.1, 'n_jobs': -1, 'num_leaves': 50, 'reg_lambda': 0, 'reg_alpha': 0.5, 'colsample_bytree': 0.8, 'subsample': 0.6, 'sampling_method': 'class_weight'} 0.9762986821443274 0.9865689865689866 0.8138963303641763 0.8567291245529467 0.8308683317741682 0.8176664208104449 0.8443349051696416 0.796364398544235 0.7915843655344077 0.9509738977992787 0.9877422493702438 0.9931192660550459 0.6400504113581089 0.7203389830508474 0.9857498512139686 0.9962350972599875 0.6759868123343676 0.6390977443609023 0.984429337982869 0.9983232026828757 0.7042404723564143 0.5944055944055944 0.9910943722448504 0.9879693009749014 0.5920743588239652 0.9139784946236559 113.8 85 5323.4 4763 84.2 8 47.8 58
64 62 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': 0.6, 'sampling_method': 'class_weight'} 0.9863174672051265 0.9863654863654864 0.8731111449467086 0.8527317741939091 0.8629688785719323 0.8116037206067368 0.8566337896772127 0.7894761913835484 0.8919821244889394 0.9548922056384743 0.9929634778587152 0.9930171964564878 0.7532588120347019 0.7124463519313304 0.9937673973123973 0.9963192236908148 0.732170359831467 0.6268882175226587 0.9943043096665182 0.9985328023475163 0.7189632696879074 0.5804195804195804 0.9916274611637711 0.9875621890547264 0.7923367878141081 0.9222222222222223 116.2 83 5376.8 4764 30.8 7 45.4 60
65 63 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight'}, 'learning_rate': 0.01, 'n_jobs': -1, 'num_leaves': 100, 'reg_lambda': 0.5, 'reg_alpha': 0, 'colsample_bytree': 0.8, 'subsample': 0.8, 'sampling_method': 'class_weight'} 0.9813255218600789 0.9804639804639804 0.8455418684259417 0.7450186799501868 0.8513450274919524 0.6911698228300356 0.8570840455418148 0.6677273679998476 0.842452756798761 0.9800323006900602 0.9903589140527298 0.9900373599003736 0.7007248227991534 0.5 0.9895273967699364 0.9958662157083803 0.7131626582139683 0.3864734299516908 0.9889783050242784 0.9997904003353595 0.7251897860593512 0.3356643356643357 0.9917659415988043 0.9804727646454265 0.6931395719987179 0.9795918367346939 117.2 48 5348.0 4770 59.6 1 44.4 95
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67 65 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': 31, 'reg_lambda': 0.5, 'reg_alpha': 0, 'colsample_bytree': 0.6, 'subsample': 0.6, 'sampling_method': 'class_weight'} 0.9724912627061901 0.9863654863654864 0.8091454656463606 0.8527317741939091 0.828848936906307 0.8116037206067368 0.8519860532408338 0.7894761913835484 0.7959146576504091 0.9548922056384743 0.985678396163404 0.9930171964564878 0.6326125351293175 0.7124463519313304 0.9821949822128019 0.9963192236908148 0.6755028915998118 0.6268882175226587 0.9799172027166186 0.9985328023475163 0.7240549037650487 0.5804195804195804 0.9916689645382505 0.9875621890547264 0.6001603507625679 0.9222222222222223 117.0 83 5299.0 4764 108.6 7 44.6 60
68 66 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'learning_rate': 0.2, 'n_jobs': -1, 'num_leaves': 31, 'reg_lambda': 0, 'reg_alpha': 0, 'colsample_bytree': 1.0, 'subsample': 1.0, 'sampling_method': 'KMeansSMOTE'} 0.9849528278012454 0.9853479853479854 0.8646951916083477 0.8437044995123055 0.859788792008918 0.8060744834267219 0.8571938677197755 0.7855604885577638 0.8756194647901754 0.9345337267733237 0.9922536922237812 0.9924937447873228 0.7371366909929145 0.6949152542372882 0.992595477063411 0.9956076134699854 0.7269821069544252 0.6165413533834586 0.9928249718478019 0.9976944036889541 0.7215627635917491 0.5734265734265734 0.9916906094299988 0.9873470234391205 0.7595483201503519 0.8817204301075269 116.6 82 5368.8 4760 38.8 11 45.0 61
69 67 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': 50, 'reg_lambda': 0.5, 'reg_alpha': 0.5, 'colsample_bytree': 0.6, 'subsample': 0.8, 'sampling_method': 'class_weight'} 0.9800332115490565 0.985958485958486 0.8310222149818287 0.8495951170068601 0.8303778507635166 0.8104921358654731 0.8318640251260028 0.7892665917189078 0.8389282414722171 0.9448654716606857 0.9896974865422206 0.9928072552903159 0.6723469434214372 0.7063829787234043 0.9893734225167174 0.9959842717309462 0.6713822790103154 0.625 0.9891632162668816 0.9981136030182352 0.6745648339851239 0.5804195804195804 0.9902611512613904 0.987557030277893 0.6875953316830439 0.9021739130434783 109.0 83 5349.0 4762 58.6 9 52.6 60
70 68 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight'}, 'learning_rate': 0.05, 'n_jobs': -1, 'num_leaves': 150, 'reg_lambda': 0.5, 'reg_alpha': 0.1, 'colsample_bytree': 1.0, 'subsample': 0.6, 'sampling_method': 'class_weight'} 0.9716660288923069 0.9867724867724867 0.8017735055206261 0.857127840635882 0.8261136262584918 0.8154847231608375 0.8509540194250989 0.7930774947123721 0.7786497392621796 0.9605514096185739 0.9852635850914406 0.993225638353309 0.6182834259498116 0.721030042918455 0.9815448554119115 0.9965283587083821 0.6706823971050719 0.6344410876132931 0.9791030392336036 0.9987424020121568 0.7228049996165938 0.5874125874125874 0.9916159525610903 0.9877694859038143 0.565683525963269 0.9333333333333333 116.8 84 5294.6 4765 113.0 6 44.8 59
71 69 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'learning_rate': 0.01, 'n_jobs': -1, 'num_leaves': 150, 'reg_lambda': 0.5, 'reg_alpha': 0, 'colsample_bytree': 1.0, 'subsample': 0.6, 'sampling_method': 'KMeansSMOTE'} 0.9796735841812186 0.9812779812779813 0.8436583046729474 0.7629000283205891 0.8488183725560308 0.7092772367866507 0.8580333380611975 0.6851050856500448 0.8487463849257508 0.9725570169694475 0.9894619068275997 0.9904465212876428 0.697854702518295 0.5353535353535354 0.9880705708134198 0.9959069456626154 0.7095661742986421 0.4226475279106858 0.98716551823573 0.999580800670719 0.7289011578866651 0.3706293706293706 0.991873504018832 0.9814776703025314 0.7056192658326699 0.9636363636363636 117.8 53 5338.2 4769 69.4 2 43.8 90
72 70 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'learning_rate': 0.1, 'n_jobs': -1, 'num_leaves': 31, 'reg_lambda': 0.1, 'reg_alpha': 0.1, 'colsample_bytree': 0.8, 'subsample': 0.8, 'sampling_method': 'KMeansSMOTE'} 0.9749689242159647 0.9865689865689866 0.8254283114273813 0.8555347091932457 0.8554981505631751 0.814922530688772 0.8850552321493523 0.7929726948800518 0.79682072022794 0.955421936554012 0.9869880055609659 0.9931207004377736 0.6638686172937965 0.717948717948718 0.9830800955756601 0.9963608984816162 0.7279162055506904 0.6334841628959276 0.9805084399140716 0.9985328023475163 0.7896020243846331 0.5874125874125874 0.9936390960573561 0.9877669500311009 0.6000023443985241 0.9230769230769231 127.6 84 5302.2 4764 105.4 7 34.0 59
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74 72 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight'}, 'learning_rate': 0.05, 'n_jobs': -1, 'num_leaves': 150, 'reg_lambda': 0.5, 'reg_alpha': 0.5, 'colsample_bytree': 1.0, 'subsample': 0.8, 'sampling_method': 'class_weight'} 0.9794233208776593 0.985958485958486 0.8441586918391032 0.8457508537779818 0.856994655666484 0.8021321974900877 0.8717303284600746 0.7790914807263581 0.8348731225758048 0.9585918383075471 0.9893264701290161 0.9928117512240858 0.6989909135491904 0.6986899563318777 0.9873501589468994 0.9963616594178655 0.7266391523860687 0.60790273556231 0.9860570835745467 0.9987424020121568 0.7574035733456024 0.5594405594405595 0.9927216107676357 0.9869511184755593 0.6770246343839738 0.9302325581395349 122.4 80 5332.2 4765 75.4 6 39.2 63
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77 75 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight'}, 'learning_rate': 0.05, 'n_jobs': -1, 'num_leaves': 31, 'reg_lambda': 0.5, 'reg_alpha': 0.1, 'colsample_bytree': 0.6, 'subsample': 1.0, 'sampling_method': 'class_weight'} 0.9837317182543917 0.9865689865689866 0.8604336749153172 0.8530835228353733 0.8611270825506988 0.8093836088798947 0.8631287801986961 0.7861892875516854 0.8648518465672106 0.9649457434116999 0.9916110714117032 0.9931235674098771 0.7292562784189311 0.7130434782608696 0.9913383461776804 0.9966124377901384 0.7309158189237174 0.622154779969651 0.9911605586337238 0.9989520016767973 0.7350970017636684 0.5734265734265734 0.9920818134484992 0.9873627511912161 0.7376218796859219 0.9425287356321839 118.8 82 5359.8 4766 47.8 5 42.8 61
78 76 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': 50, 'reg_lambda': 0, 'reg_alpha': 0.1, 'colsample_bytree': 0.8, 'subsample': 1.0, 'sampling_method': 'class_weight'} 0.9739279281660822 0.9845339845339846 0.8050066748105875 0.8217338590344538 0.8266787817351984 0.772503887892253 0.8467259599758414 0.7478325489224672 0.7840130035772299 0.965893779706551 0.986488439609024 0.9920915712799168 0.6235249100121509 0.6513761467889908 0.9836434922894395 0.9963215315804874 0.6697140711809576 0.5486862442040186 0.9817656995698103 0.9991616013414378 0.7116862203818726 0.4965034965034965 0.9913066978148806 0.9851208927464352 0.5767193093395793 0.9466666666666667 115.0 71 5309.0 4767 98.6 4 46.6 72
79 77 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'learning_rate': 0.1, 'n_jobs': -1, 'num_leaves': 50, 'reg_lambda': 0, 'reg_alpha': 0.5, 'colsample_bytree': 0.8, 'subsample': 0.6, 'sampling_method': 'KMeansSMOTE'} 0.9733177795909841 0.9865689865689866 0.8060815754874536 0.8567291245529467 0.8331177764017111 0.8176664208104449 0.8583228423554271 0.796364398544235 0.777220847831976 0.9509738977992787 0.9861525870784427 0.9931192660550459 0.6260105638964643 0.7203389830508474 0.9826842785244188 0.9962350972599875 0.6835512742790038 0.6390977443609023 0.980398464405663 0.9983232026828757 0.7362472203051913 0.5944055944055944 0.9920412614081844 0.9879693009749014 0.5624004342557676 0.9139784946236559 119.0 85 5301.6 4763 106.0 8 42.6 58
80 78 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'learning_rate': 0.2, 'n_jobs': -1, 'num_leaves': 50, 'reg_lambda': 0, 'reg_alpha': 0.1, 'colsample_bytree': 1.0, 'subsample': 0.6, 'sampling_method': 'KMeansSMOTE'} 0.9771601191901953 0.9865689865689866 0.8316566272293375 0.8567291245529467 0.8516138547267422 0.8176664208104449 0.8723651384929152 0.796364398544235 0.815815149314623 0.9509738977992787 0.9881464906395468 0.9931192660550459 0.6751667638191284 0.7203389830508474 0.9854116535441191 0.9962350972599875 0.7178160559093654 0.6390977443609023 0.983615331812914 0.9983232026828757 0.7611149451729162 0.5944055944055944 0.9928151245884811 0.9879693009749014 0.6388151740407648 0.9139784946236559 123.0 85 5319.0 4763 88.6 8 38.6 58
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82 80 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'learning_rate': 0.2, 'n_jobs': -1, 'num_leaves': 100, 'reg_lambda': 0.1, 'reg_alpha': 0.5, 'colsample_bytree': 0.6, 'subsample': 0.8, 'sampling_method': 'KMeansSMOTE'} 0.9744661925322049 0.9867724867724867 0.8246914269289103 0.857127840635882 0.8450393097837317 0.8154847231608375 0.8704758963886231 0.7930774947123721 0.8136449693955912 0.9605514096185739 0.9867003016999988 0.993225638353309 0.6626825521578221 0.721030042918455 0.9831791341794528 0.9965283587083821 0.7068994853880107 0.6344410876132931 0.9808797124153109 0.9987424020121568 0.7600720803619355 0.5874125874125874 0.9927677947450457 0.9877694859038143 0.6345221440461367 0.9333333333333333 122.8 84 5304.2 4765 103.4 6 38.8 59
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102 0 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'learning_rate': 0.05, 'n_jobs': -1, 'num_leaves': 150, 'reg_lambda': 0.5, 'reg_alpha': 0, 'colsample_bytree': 1.0, 'subsample': 0.6, 'sampling_method': 'KMeansSMOTE', 'scaling_method: quantile_normal} 0.9844140669704988 0.9855514855514855 0.8623351693518986 0.8412798640324161 0.8596883487792505 0.7982282553760953 0.8587011958975218 0.7754901773975343 0.8702887977748943 0.9526743222673937 0.991971897799355 0.9926033961871028 0.7326984409044422 0.6899563318777293 0.992083046855293 0.9961525593844095 0.727293650703208 0.6003039513677811 0.9921589288704211 0.9985328023475163 0.7252434629246223 0.5524475524475524 0.9917937666337071 0.9867439933719967 0.7487838289160816 0.9186046511627907 117.2 79 5365.2 4764 42.4 7 44.4 64
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104 2 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'learning_rate': 0.05, 'n_jobs': -1, 'num_leaves': 150, 'reg_lambda': 0.5, 'reg_alpha': 0.1, 'colsample_bytree': 0.6, 'subsample': 0.6, 'sampling_method': 'KMeansSMOTE', 'scaling_method: quantile_uniform} 0.9796017708957608 0.9861619861619861 0.8342656049324493 0.8486315083758391 0.8380855937837166 0.8054854277835695 0.8429541359796936 0.7825879842228616 0.8354128537849832 0.959095032968289 0.9894591690779171 0.9929151906647218 0.6790720407869812 0.7043478260869566 0.9885890371386203 0.9964033290117519 0.687582150428813 0.6145675265553869 0.988017005952179 0.9987424020121568 0.697891266007208 0.5664335664335665 0.9909419995245928 0.9871555831779574 0.6798837080453737 0.9310344827586207 112.8 81 5342.8 4765 64.8 6 48.8 62
105 3 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'learning_rate': 0.05, 'n_jobs': -1, 'num_leaves': 50, 'reg_lambda': 0.1, 'reg_alpha': 0, 'colsample_bytree': 0.6, 'subsample': 0.8, 'sampling_method': 'KMeansSMOTE', 'scaling_method: standard_scaling} 0.9752565384229769 0.9857549857549858 0.8143116304780712 0.8454905779707063 0.8428197428650208 0.8043882221350002 0.8665528891432797 0.7823783845582211 0.7788917107605989 0.9486313093089597 0.9871821489431831 0.9927052938724469 0.6414411120129591 0.6982758620689655 0.9840346545866547 0.9960684261156887 0.7016048311433869 0.6127080181543116 0.9819517256832311 0.9983232026828757 0.7511540526033279 0.5664335664335665 0.9924907249361208 0.9871502590673575 0.5652926965850769 0.9101123595505618 121.4 81 5310.0 4763 97.6 8 40.2 62
106 4 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'learning_rate': 0.2, 'n_jobs': -1, 'num_leaves': 100, 'reg_lambda': 0.1, 'reg_alpha': 0, 'colsample_bytree': 0.8, 'subsample': 0.8, 'sampling_method': 'KMeansSMOTE', 'scaling_method: maxabs_scaling} 0.978238459695938 0.986975986975987 0.838180134870535 0.8599124452782989 0.846040817717402 0.8187978416363408 0.8597009308567332 0.7965739982088755 0.8397093571181811 0.9610201119635082 0.9886882411363251 0.9933291640608714 0.687672028604745 0.7264957264957265 0.9867764925505387 0.9965700422470406 0.7053051428842654 0.6410256410256411 0.9855394278510324 0.9987424020121568 0.733862433862434 0.5944055944055944 0.9920308707217517 0.9879742898610823 0.6873878435146107 0.9340659340659341 118.6 85 5329.4 4765 78.2 6 43.0 58
107 5 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'learning_rate': 0.05, 'n_jobs': -1, 'num_leaves': 100, 'reg_lambda': 0, 'reg_alpha': 0.1, 'colsample_bytree': 0.6, 'subsample': 1.0, 'sampling_method': 'KMeansSMOTE', 'scaling_method: minmax_scaling} 0.96918756788106 0.9865689865689866 0.7865686228675812 0.8543196878009516 0.8221732637744459 0.8121616449258658 0.8550830207571611 0.7895809912158687 0.7483537552253218 0.9600745182511498 0.9839855691877417 0.9931221342225928 0.5891516765474208 0.7155172413793104 0.9793054016527274 0.9964866786565728 0.6650411258961646 0.6278366111951589 0.9762192582921765 0.9987424020121568 0.7339467832221456 0.5804195804195804 0.991924903415503 0.9875647668393782 0.5047826070351403 0.9325842696629213 118.6 83 5279.0 4765 128.6 6 43.0 60
108 6 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'learning_rate': 0.2, 'n_jobs': -1, 'num_leaves': 100, 'reg_lambda': 0.5, 'reg_alpha': 0.1, 'colsample_bytree': 0.8, 'subsample': 0.6, 'sampling_method': 'KMeansSMOTE', 'scaling_method: quantile_normal} 0.9786682948986971 0.9871794871794872 0.8354438727848731 0.8638042785364444 0.8550711299071727 0.8248195484641268 0.8719101351825234 0.8034622053695624 0.8136409044416396 0.9569568288161031 0.9889594474161598 0.9934313418830153 0.6819282981535866 0.7341772151898734 0.9867228372175102 0.9964859437751004 0.7234194225968351 0.6531531531531531 0.985243474107091 0.9985328023475163 0.7585767962579557 0.6083916083916084 0.9927346304720903 0.9883817427385893 0.6345471784111887 0.925531914893617 122.6 87 5327.8 4764 79.8 7 39.0 56
109 7 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight', 'scaling_method: standard_scaling}, 'learning_rate': 0.01, 'n_jobs': -1, 'num_leaves': 31, 'reg_lambda': 0, 'reg_alpha': 0.1, 'colsample_bytree': 0.6, 'subsample': 0.8, 'sampling_method': 'class_weight', 'scaling_method: standard_scaling} 0.9698333909855565 0.9806674806674807 0.8044990871104515 0.7514792899408284 0.8385014305308574 0.6982116011024806 0.8758316919251206 0.6746155751605343 0.7750434972984825 0.9712052653229124 0.9842572566912786 0.9901380670611439 0.6247409175296248 0.5128205128205128 0.9790416260872707 0.9957821765639355 0.6979612349744436 0.40064102564102566 0.9756262701319679 0.999580800670719 0.7760371137182732 0.34965034965034963 0.9932062640439729 0.9808720691073632 0.5568807305529921 0.9615384615384616 125.4 50 5275.8 4769 131.8 2 36.2 93
110 8 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight', 'scaling_method: box_cox}, 'learning_rate': 0.01, 'n_jobs': -1, 'num_leaves': 50, 'reg_lambda': 0.1, 'reg_alpha': 0.5, 'colsample_bytree': 1.0, 'subsample': 0.6, 'sampling_method': 'class_weight', 'scaling_method: box_cox} 0.9716291341560247 0.9843304843304843 0.8130891081045482 0.8185748185043347 0.847091899932247 0.7690377759706564 0.882512486171885 0.7443360454259637 0.7816694016854046 0.9654316506589233 0.9852108771054326 0.9919883466860888 0.6409673391036635 0.6451612903225806 0.9803230720778123 0.9962798863066377 0.7138607277866814 0.541795665634675 0.9771156862460781 0.9991616013414378 0.7879092860976918 0.48951048951048953 0.9935686069101497 0.9849173553719008 0.5697701964606596 0.9459459459459459 127.25 70 5284.0 4767 123.75 4 34.25 73
111 9 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'learning_rate': 0.05, 'n_jobs': -1, 'num_leaves': 150, 'reg_lambda': 0.5, 'reg_alpha': 0, 'colsample_bytree': 1.0, 'subsample': 0.8, 'sampling_method': 'KMeansSMOTE', 'scaling_method: yeo_johnson} 0.9777342515134919 0.986975986975987 0.8316961618871433 0.8599124452782989 0.8515089673402825 0.8187978416363408 0.8690646311711768 0.7965739982088755 0.80974752004027 0.9610201119635082 0.9884645924627099 0.9933291640608714 0.6749277313115769 0.7264957264957265 0.9860342921680253 0.9965700422470406 0.7169836425125394 0.6410256410256411 0.9844293927004552 0.9987424020121568 0.7536998696418986 0.5944055944055944 0.9925775738823897 0.9879742898610823 0.6269174661981501 0.9340659340659341 121.8 85 5323.4 4765 84.2 6 39.8 58
112 10 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'learning_rate': 0.01, 'n_jobs': -1, 'num_leaves': 31, 'reg_lambda': 0.5, 'reg_alpha': 0.1, 'colsample_bytree': 0.6, 'subsample': 0.6, 'sampling_method': 'KMeansSMOTE', 'scaling_method: robust_scaling} 0.9629021258679668 0.9812779812779813 0.7601521306254784 0.7652222683838803 0.7909035328969123 0.7125170389395925 0.8235339326054492 0.688496789314228 0.7318076004994702 0.96452217634884 0.9806431446705213 0.9904445367677607 0.5396611165804355 0.54 0.9751104919330522 0.9957812956852262 0.6066965738607724 0.4292527821939587 0.9714831707856242 0.9993712010060783 0.6755846944252741 0.3776223776223776 0.9901178371529946 0.9816759316450484 0.473497363845946 0.9473684210526315 109.2 54 5253.4 4768 154.2 3 52.4 89
113 11 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight', 'scaling_method: box_cox}, 'learning_rate': 0.05, 'n_jobs': -1, 'num_leaves': 100, 'reg_lambda': 0, 'reg_alpha': 0, 'colsample_bytree': 0.8, 'subsample': 0.8, 'sampling_method': 'class_weight', 'scaling_method: box_cox} 0.987790677619407 0.9861619861619861 0.8900177736561548 0.8499051328858289 0.8862418074222531 0.8082749335304329 0.8844331559488832 0.7859796878870449 0.8994734868155518 0.9543529137800547 0.9937149788164548 0.9929137140475198 0.7863205684958547 0.7068965517241379 0.9939900140143437 0.9962775523861307 0.7784936008301626 0.6202723146747352 0.9941749538730749 0.9985328023475163 0.7746913580246914 0.5734265734265734 0.9932629022497421 0.9873575129533678 0.8056840713813616 0.9213483146067416 125.5 82 5376.0 4764 31.5 7 36.5 61
114 12 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight', 'scaling_method: quantile_normal}, 'learning_rate': 0.01, 'n_jobs': -1, 'num_leaves': 31, 'reg_lambda': 0.5, 'reg_alpha': 0, 'colsample_bytree': 0.8, 'subsample': 0.6, 'sampling_method': 'class_weight', 'scaling_method: quantile_normal} 0.9777705772497342 0.9851444851444852 0.8307144455403721 0.8310423159583391 0.8430306352165851 0.7828386287625417 0.8576827669564981 0.7583220594119777 0.8233748293597518 0.9672249793217536 0.9884717793692556 0.9924013739981263 0.6729571117114885 0.669683257918552 0.986474508930028 0.9964464882943144 0.6995867615031417 0.5692307692307692 0.9851684631362151 0.9991616013414378 0.730197070776781 0.5174825174825175 0.9919059244215098 0.9857320099255583 0.6548437342979939 0.9487179487179487 118.0 74 5327.4 4767 80.2 4 43.6 69
115 13 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight', 'scaling_method: robust_scaling}, 'learning_rate': 0.05, 'n_jobs': -1, 'num_leaves': 50, 'reg_lambda': 0, 'reg_alpha': 0.1, 'colsample_bytree': 1.0, 'subsample': 1.0, 'sampling_method': 'class_weight', 'scaling_method: robust_scaling} 0.9672853282130852 0.9867724867724867 0.7945675323897605 0.857127840635882 0.8277960448992605 0.8154847231608375 0.867794119245765 0.7930774947123721 0.7705870339411163 0.9605514096185739 0.9828835168040057 0.993225638353309 0.6062515479755154 0.721030042918455 0.9771474539410777 0.9965283587083821 0.6784446358574432 0.6344410876132931 0.9734074241368027 0.9987424020121568 0.7621808143547274 0.5874125874125874 0.9927954424291954 0.9877694859038143 0.5483786254530373 0.9333333333333333 123.2 84 5263.8 4765 143.8 6 38.4 59
116 14 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight', 'scaling_method: robust_scaling}, 'learning_rate': 0.01, 'n_jobs': -1, 'num_leaves': 50, 'reg_lambda': 0, 'reg_alpha': 0.1, 'colsample_bytree': 1.0, 'subsample': 0.8, 'sampling_method': 'class_weight', 'scaling_method: robust_scaling} 0.9728504967708845 0.9816849816849816 0.8112453516398498 0.7703261321146656 0.8340594665180353 0.7165960251118126 0.8592871233023158 0.6920980926430518 0.7916444572713884 0.9733970503776427 0.9858621030556469 0.9906522642293312 0.6366286002240525 0.55 0.9822227435930824 0.9959901424334823 0.685896189442988 0.43720190779014306 0.9798425542497509 0.999580800670719 0.7387316923548808 0.38461538461538464 0.992119950040901 0.981881820053531 0.591168964501876 0.9649122807017544 119.4 55 5298.6 4769 109.0 2 42.2 88
117 15 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight', 'scaling_method: minmax_scaling}, 'learning_rate': 0.2, 'n_jobs': -1, 'num_leaves': 50, 'reg_lambda': 0, 'reg_alpha': 0, 'colsample_bytree': 0.8, 'subsample': 0.8, 'sampling_method': 'class_weight', 'scaling_method: minmax_scaling} 0.983157108809249 0.9861619861619861 0.8573912063413826 0.8486315083758391 0.8539261932781465 0.8054854277835695 0.8538278202533981 0.7825879842228616 0.8700656242750284 0.959095032968289 0.9913072264367813 0.9929151906647218 0.7234751862459838 0.7043478260869566 0.9911925976751522 0.9964033290117519 0.7166597888811405 0.6145675265553869 0.9911231660033073 0.9987424020121568 0.716532474503489 0.5664335664335665 0.9915265969645757 0.9871555831779574 0.7486046515854815 0.9310344827586207 115.8 81 5359.6 4765 48.0 6 45.8 62
118 16 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight', 'scaling_method: quantile_uniform}, 'learning_rate': 0.2, 'n_jobs': -1, 'num_leaves': 100, 'reg_lambda': 0.5, 'reg_alpha': 0, 'colsample_bytree': 0.6, 'subsample': 0.6, 'sampling_method': 'class_weight', 'scaling_method: quantile_uniform} 0.9764054736191916 0.985958485958486 0.8266265213218709 0.8457508537779818 0.8348402298304297 0.8021321974900877 0.8479100181581863 0.7790914807263581 0.8296087867907609 0.9585918383075471 0.9877442253775028 0.9928117512240858 0.6655088172662392 0.6986899563318777 0.9856693723591963 0.9963616594178655 0.684011087301663 0.60790273556231 0.9843178509011439 0.9987424020121568 0.7115021854152288 0.5594405594405595 0.9913336047344415 0.9869511184755593 0.6678839688470802 0.9302325581395349 115.0 80 5322.8 4765 84.8 6 46.6 63
119 17 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight', 'scaling_method: standard_scaling}, 'learning_rate': 0.01, 'n_jobs': -1, 'num_leaves': 50, 'reg_lambda': 0.5, 'reg_alpha': 0, 'colsample_bytree': 1.0, 'subsample': 1.0, 'sampling_method': 'class_weight', 'scaling_method: standard_scaling} 0.9816847430295882 0.9839234839234839 0.8493449655995716 0.8121700507307208 0.8504875463807806 0.7620734583807318 0.8554570505465758 0.7373430384329567 0.8588364320824496 0.9644774886410574 0.9905325594533492 0.9917819619265578 0.7081573717457943 0.6325581395348837 0.9898798421829204 0.9961966062024575 0.7110952505786411 0.5279503105590062 0.9894586912319445 0.9991616013414378 0.7214554098612069 0.4755244755244755 0.9916776150122031 0.9845105328376704 0.7259952491526961 0.9444444444444444 116.6 68 5350.6 4767 57.0 4 45.0 75
120 18 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight', 'scaling_method: minmax_scaling}, 'learning_rate': 0.01, 'n_jobs': -1, 'num_leaves': 100, 'reg_lambda': 0, 'reg_alpha': 0.5, 'colsample_bytree': 0.6, 'subsample': 1.0, 'sampling_method': 'class_weight', 'scaling_method: minmax_scaling} 0.97317382419285 0.981074481074481 0.808315538599001 0.7591312317932732 0.8373919825819222 0.7056004078739636 0.8631005825573681 0.6816085821535414 0.774507670870927 0.972119341563786 0.9860700857887904 0.9903436818606582 0.6305609914092115 0.5279187817258884 0.9823856262874422 0.9958653524891413 0.692398338876402 0.41533546325878595 0.9799547116219058 0.999580800670719 0.7462464534928304 0.36363636363636365 0.9923151194840722 0.9812757201646091 0.5567002222577819 0.9629629629629629 120.6 52 5299.2 4769 108.4 2 41.0 91
121 19 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'learning_rate': 0.2, 'n_jobs': -1, 'num_leaves': 150, 'reg_lambda': 0, 'reg_alpha': 0, 'colsample_bytree': 0.8, 'subsample': 0.6, 'sampling_method': 'KMeansSMOTE', 'scaling_method: standard_scaling} 0.982726229096502 0.9861619861619861 0.8489621627841558 0.8486315083758391 0.8454575008264719 0.8054854277835695 0.8439679768426244 0.7825879842228616 0.8582538444173984 0.959095032968289 0.9910990054190778 0.9929151906647218 0.7068253201492338 0.7043478260869566 0.9912011804704424 0.9964033290117519 0.6997138211825016 0.6145675265553869 0.9912715874556651 0.9987424020121568 0.6966643662295836 0.5664335664335665 0.9909378900420727 0.9871555831779574 0.7255697987927245 0.9310344827586207 112.6 81 5360.4 4765 47.2 6 49.0 62
122 20 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight', 'scaling_method: maxabs_scaling}, 'learning_rate': 0.01, 'n_jobs': -1, 'num_leaves': 31, 'reg_lambda': 0, 'reg_alpha': 0.1, 'colsample_bytree': 1.0, 'subsample': 0.6, 'sampling_method': 'class_weight', 'scaling_method: maxabs_scaling} 0.9678958056154018 0.9845339845339846 0.7989499517235532 0.8217338590344538 0.8282339937570727 0.772503887892253 0.8663658795994127 0.7478325489224672 0.7792244620071296 0.965893779706551 0.9831868425365744 0.9920915712799168 0.6147130609105321 0.6513761467889908 0.9777081241225292 0.9963215315804874 0.678759863391616 0.5486862442040186 0.9741472948172596 0.9991616013414378 0.7585844643815658 0.4965034965034965 0.9927033195397961 0.9851208927464352 0.5657456044744631 0.9466666666666667 122.6 71 5267.8 4767 139.8 4 39.0 72
123 21 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'learning_rate': 0.1, 'n_jobs': -1, 'num_leaves': 31, 'reg_lambda': 0, 'reg_alpha': 0.1, 'colsample_bytree': 0.6, 'subsample': 0.6, 'sampling_method': 'KMeansSMOTE', 'scaling_method: maxabs_scaling} 0.9781292955070274 0.9857549857549858 0.8374807895769176 0.844179493916305 0.8474616576400209 0.8015872466872441 0.8614837951923834 0.7789866808940379 0.8367971379498526 0.953244322524878 0.9886452894961779 0.9927068139195666 0.6863162896576577 0.6956521739130435 0.986630879626928 0.9961942202333653 0.7082924356531137 0.6069802731411229 0.9853171034589175 0.9985328023475163 0.7376504869258492 0.5594405594405595 0.9921231972264328 0.9869484151646986 0.6814710786732723 0.9195402298850575 119.2 80 5328.2 4764 79.4 7 42.4 63
124 22 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'learning_rate': 0.2, 'n_jobs': -1, 'num_leaves': 100, 'reg_lambda': 0.5, 'reg_alpha': 0.5, 'colsample_bytree': 0.6, 'subsample': 0.8, 'sampling_method': 'KMeansSMOTE', 'scaling_method: maxabs_scaling} 0.981505100206871 0.9853479853479854 0.8452586851028583 0.8410760230555836 0.8488270203266162 0.8005015107395673 0.8529927084183055 0.7787770812293973 0.8459124054874574 0.9429097048378645 0.9904553844986724 0.9924968736973739 0.7000619857070445 0.6896551724137931 0.9898326165826449 0.9958592998452466 0.7078214240705878 0.6051437216338881 0.9894222698386816 0.9981136030182352 0.7165631469979297 0.5594405594405595 0.9915127583417949 0.9869430051813471 0.7003120526331197 0.898876404494382 115.8 80 5350.4 4762 57.2 9 45.8 63
125 23 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': 100, 'reg_lambda': 0, 'reg_alpha': 0.1, 'colsample_bytree': 0.6, 'subsample': 1.0, 'sampling_method': 'class_weight', 'scaling_method: quantile_normal} 0.9814333900828934 0.9863654863654864 0.8455921019140252 0.8514876808093439 0.8509644627866907 0.8088285616516482 0.8570858591485703 0.7860844877193651 0.8448056287771495 0.959589157216592 0.9904138068026569 0.9930186516619777 0.7007703970253932 0.70995670995671 0.9896146232507045 0.9964450020911753 0.7123143023226767 0.6212121212121212 0.9890892859683316 0.9987424020121568 0.7250824323288091 0.5734265734265734 0.9917759466380478 0.9873601326150021 0.6978353109162512 0.9318181818181818 117.2 82 5348.6 4765 59.0 6 44.4 61
126 24 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight', 'scaling_method: box_cox}, 'learning_rate': 0.01, 'n_jobs': -1, 'num_leaves': 100, 'reg_lambda': 0.1, 'reg_alpha': 0, 'colsample_bytree': 1.0, 'subsample': 0.8, 'sampling_method': 'class_weight', 'scaling_method: box_cox} 0.9734849312777979 0.9814814814814815 0.8201900642676553 0.7666314749570888 0.8532188039713645 0.7129424240215341 0.884314946849841 0.6886015891465482 0.7837900262287528 0.9729827089337175 0.9861974101533121 0.9905493820749818 0.6541827183819985 0.542713567839196 0.9818439183825531 0.9959485423105839 0.7245936895601757 0.4299363057324841 0.9789793045321846 0.999580800670719 0.7896505891674974 0.3776223776223776 0.9936089182503897 0.9816797035817209 0.573971134207116 0.9642857142857143 127.66666666666667 54 5294.0 4769 113.66666666666667 2 34.0 89
127 25 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'learning_rate': 0.01, 'n_jobs': -1, 'num_leaves': 50, 'reg_lambda': 0, 'reg_alpha': 0, 'colsample_bytree': 0.6, 'subsample': 0.8, 'sampling_method': 'KMeansSMOTE', 'scaling_method: minmax_scaling} 0.9772674264724609 0.9845339845339846 0.8205331923219703 0.8233176898039513 0.8346615568045956 0.7754476744811455 0.846615159878634 0.7512242525866504 0.804061173251089 0.9601932076606461 0.9882446522841469 0.992089925062448 0.6528217323597935 0.6545454545454545 0.9864828303366062 0.9961958112119058 0.6828402832725851 0.5546995377503852 0.9853168161915903 0.9989520016767973 0.7079135035656774 0.5034965034965035 0.9912156285702498 0.9853214802563572 0.6169067179319281 0.935064935064935 114.4 72 5328.2 4766 79.4 5 47.2 71
128 26 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight', 'scaling_method: robust_scaling}, 'learning_rate': 0.1, 'n_jobs': -1, 'num_leaves': 100, 'reg_lambda': 0.5, 'reg_alpha': 0, 'colsample_bytree': 0.6, 'subsample': 1.0, 'sampling_method': 'class_weight', 'scaling_method: robust_scaling} 0.9771237160828425 0.9861619861619861 0.8281054344610188 0.8511569731081927 0.8199198138202712 0.8110472197412031 0.820064359882562 0.789371391551228 0.8566444206336004 0.9498237611445158 0.9881171574002924 0.9929122368146759 0.6680937115217451 0.7094017094017094 0.987307501305499 0.9961517547161919 0.6525321263350433 0.6259426847662142 0.9867969200565124 0.9983232026828757 0.6533317997086112 0.5804195804195804 0.9895872293376499 0.9875596102011196 0.7237016119295505 0.9120879120879121 105.6 83 5336.2 4763 71.4 8 56.0 60
129 27 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'learning_rate': 0.05, 'n_jobs': -1, 'num_leaves': 100, 'reg_lambda': 0.1, 'reg_alpha': 0.5, 'colsample_bytree': 0.6, 'subsample': 0.8, 'sampling_method': 'KMeansSMOTE', 'scaling_method: maxabs_scaling} 0.9859584201206151 0.9853479853479854 0.8675501255122746 0.8410760230555836 0.8531075395441187 0.8005015107395673 0.8444576275228151 0.7787770812293973 0.8968141370372186 0.9429097048378645 0.9927819899787907 0.9924968736973739 0.7423182610457587 0.6896551724137931 0.9939158959446788 0.9958592998452466 0.7122991831435587 0.6051437216338881 0.9946740158768549 0.9981136030182352 0.6942412391687754 0.5594405594405595 0.9909008159271571 0.9869430051813471 0.8027274581472801 0.898876404494382 112.2 80 5378.8 4762 28.8 9 49.4 63
130 28 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'learning_rate': 0.2, 'n_jobs': -1, 'num_leaves': 31, 'reg_lambda': 0, 'reg_alpha': 0, 'colsample_bytree': 1.0, 'subsample': 0.8, 'sampling_method': 'KMeansSMOTE', 'scaling_method: quantile_uniform} 0.9849889085289721 0.9863654863654864 0.8649701254986983 0.8551569311419329 0.858939036823623 0.8171028709432324 0.8559571870275651 0.7962595987119148 0.8800445285530072 0.9461110620640947 0.9922718648032411 0.9930142842247941 0.7376683861941554 0.7172995780590717 0.9926687905433342 0.9960676037483266 0.7252092831039121 0.6381381381381381 0.9929357681200024 0.9981136030182352 0.7189786059351276 0.5944055944055944 0.9916197272989027 0.9879668049792532 0.7684693298071119 0.9042553191489362 116.2 85 5369.4 4762 38.2 9 45.4 58
131 29 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight', 'scaling_method: maxabs_scaling}, 'learning_rate': 0.01, 'n_jobs': -1, 'num_leaves': 150, 'reg_lambda': 0.5, 'reg_alpha': 0, 'colsample_bytree': 0.8, 'subsample': 0.6, 'sampling_method': 'class_weight', 'scaling_method: maxabs_scaling} 0.9832290059134093 0.9806674806674807 0.8577189187182945 0.7489560674462439 0.8631250311501523 0.6948992377374987 0.8677025038261416 0.6712238714963511 0.8519625156702542 0.9803371710526316 0.9913500503936579 0.9901401141670991 0.7240877870429312 0.5077720207253886 0.9907466868276522 0.99590780023384 0.7355033754726527 0.39389067524115756 0.9903471133190266 0.9997904003353595 0.7450578943332566 0.34265734265734266 0.9923664085596787 0.9806743421052632 0.7115586227808298 0.98 120.4 49 5355.4 4770 52.2 1 41.2 94
132 30 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight', 'scaling_method: robust_scaling}, 'learning_rate': 0.01, 'n_jobs': -1, 'num_leaves': 50, 'reg_lambda': 0.1, 'reg_alpha': 0.1, 'colsample_bytree': 1.0, 'subsample': 0.8, 'sampling_method': 'class_weight', 'scaling_method: robust_scaling} 0.9696191761717614 0.9816849816849816 0.8017706997467791 0.7725528837945087 0.8293615195525559 0.7198022919982372 0.8618412043206947 0.695489796307235 0.7807201128078075 0.9656164359650194 0.9841353179998285 0.9906503220444629 0.6194060814937297 0.5544554455445545 0.9793677310423016 0.9958644889093111 0.6793553080628102 0.4437400950871632 0.9762550641125955 0.9993712010060783 0.7474273445287938 0.3916083916083916 0.9923555226065492 0.9820803295571575 0.569084703009066 0.9491525423728814 120.8 56 5279.2 4768 128.4 3 40.8 87
133 31 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'learning_rate': 0.01, 'n_jobs': -1, 'num_leaves': 150, 'reg_lambda': 0.1, 'reg_alpha': 0.5, 'colsample_bytree': 0.8, 'subsample': 0.8, 'sampling_method': 'KMeansSMOTE', 'scaling_method: yeo_johnson} 0.9826544222586368 0.9845339845339846 0.8511928064180332 0.8184773373720956 0.8513348314526299 0.76656017158463 0.8535535467092483 0.7410491415941007 0.8583825183026962 0.9782756003292105 0.9910536292822354 0.9920948616600791 0.7113319835538309 0.6448598130841121 0.9907810779755911 0.9965729092656831 0.7118885849296686 0.536547433903577 0.9906052914094484 0.999580800670719 0.7165018020090483 0.4825174825174825 0.991531752367243 0.9847202147429279 0.7252332842381495 0.971830985915493 115.8 69 5356.8 4769 50.8 2 45.8 74
134 32 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight', 'scaling_method: standard_scaling}, 'learning_rate': 0.1, 'n_jobs': -1, 'num_leaves': 50, 'reg_lambda': 0.5, 'reg_alpha': 0, 'colsample_bytree': 1.0, 'subsample': 1.0, 'sampling_method': 'class_weight', 'scaling_method: standard_scaling} 0.9754716945852795 0.9865689865689866 0.8313298916598075 0.8555347091932457 0.8507404516764904 0.814922530688772 0.8751233704648026 0.7929726948800518 0.8211576176196912 0.955421936554012 0.9872244412149582 0.9931207004377736 0.6754353421046568 0.717948717948718 0.9838553007230905 0.9963608984816162 0.7176256026298906 0.6334841628959276 0.9816553752367904 0.9985328023475163 0.7685913656928149 0.5874125874125874 0.9930309674934674 0.9877669500311009 0.6492842677459147 0.9230769230769231 124.2 84 5308.4 4764 99.2 7 37.4 59
135 33 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'learning_rate': 0.05, 'n_jobs': -1, 'num_leaves': 31, 'reg_lambda': 0.1, 'reg_alpha': 0.1, 'colsample_bytree': 0.6, 'subsample': 1.0, 'sampling_method': 'KMeansSMOTE', 'scaling_method: quantile_normal} 0.9826186768057209 0.985958485958486 0.8482828915659721 0.8495951170068601 0.8498538218087305 0.8104921358654731 0.8511707790641946 0.7892665917189078 0.8466101131961749 0.9448654716606857 0.9910444184301694 0.9928072552903159 0.7055213647017748 0.7063829787234043 0.9908473237069073 0.9959842717309462 0.7088603199105538 0.625 0.9907166827353977 0.9981136030182352 0.7116248753929914 0.5804195804195804 0.9913759459613999 0.987557030277893 0.7018442804309497 0.9021739130434783 115.0 83 5357.4 4762 50.2 9 46.6 60
136 34 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight', 'scaling_method: minmax_scaling}, 'learning_rate': 0.2, 'n_jobs': -1, 'num_leaves': 31, 'reg_lambda': 0.5, 'reg_alpha': 0, 'colsample_bytree': 0.8, 'subsample': 0.6, 'sampling_method': 'class_weight', 'scaling_method: minmax_scaling} 0.9727789091511647 0.9857549857549858 0.8124614707471276 0.8480460411925193 0.8393975452965352 0.8099384625546296 0.8689735723032191 0.7891617918865875 0.7925062146617352 0.9400137837819753 0.9858307143192434 0.9927022518765638 0.6390922271750116 0.7033898305084746 0.9818123110589859 0.9958167747333194 0.6969827795340842 0.6240601503759399 0.9791786452582286 0.9979040033535946 0.7587684993482096 0.5804195804195804 0.9927149088571081 0.9875544492843809 0.5922975204663624 0.8924731182795699 122.6 83 5295.0 4761 112.6 10 39.0 60
137 35 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'learning_rate': 0.05, 'n_jobs': -1, 'num_leaves': 100, 'reg_lambda': 0, 'reg_alpha': 0.1, 'colsample_bytree': 0.6, 'subsample': 0.6, 'sampling_method': 'KMeansSMOTE', 'scaling_method: yeo_johnson} 0.9816849300097713 0.9857549857549858 0.8437936620087683 0.8454905779707063 0.8440717674308231 0.8043882221350002 0.8458687895371814 0.7823783845582211 0.8494730505777793 0.9486313093089597 0.9905528720811478 0.9927052938724469 0.6970344519363885 0.6982758620689655 0.990248716649657 0.9960684261156887 0.6978948182119893 0.6127080181543116 0.990050591880129 0.9983232026828757 0.7016869871942335 0.5664335664335665 0.9910785005965325 0.9871502590673575 0.7078676005590263 0.9101123595505618 113.4 81 5353.8 4763 53.8 8 48.2 62
138 36 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight', 'scaling_method: box_cox}, 'learning_rate': 0.1, 'n_jobs': -1, 'num_leaves': 100, 'reg_lambda': 0.5, 'reg_alpha': 0.1, 'colsample_bytree': 0.8, 'subsample': 1.0, 'sampling_method': 'class_weight', 'scaling_method: box_cox} 0.986263242952056 0.9855514855514855 0.868565042462055 0.8439396413099634 0.8522946994430493 0.8038417154985349 0.8426822767875366 0.7822735847259008 0.9022102852550218 0.9435737976782753 0.9929414369164138 0.9926003126628452 0.7441886480076962 0.6952789699570815 0.99423443913549 0.9959009536556801 0.7103549597506085 0.6117824773413897 0.995099236498162 0.9981136030182352 0.6902653170769113 0.5664335664335665 0.9907975366524056 0.9871475953565506 0.813623033857638 0.9 111.5 81 5381.0 4762 26.5 9 50.0 62
139 37 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'learning_rate': 0.01, 'n_jobs': -1, 'num_leaves': 100, 'reg_lambda': 0, 'reg_alpha': 0.5, 'colsample_bytree': 0.6, 'subsample': 0.6, 'sampling_method': 'KMeansSMOTE', 'scaling_method: yeo_johnson} 0.9785967137265699 0.9812779812779813 0.8338334065286771 0.7629000283205891 0.8516116183875069 0.7092772367866507 0.8677311621054923 0.6851050856500448 0.8156151808294426 0.9725570169694475 0.9889224679089648 0.9904465212876428 0.6787443451483895 0.5353535353535354 0.9868175812794666 0.9959069456626154 0.7164056554955471 0.4226475279106858 0.9854278176547385 0.999580800670719 0.7500345065562457 0.3706293706293706 0.9924855074037453 0.9814776703025314 0.63874485425514 0.9636363636363636 121.2 53 5328.8 4769 78.8 2 40.4 90
140 38 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'learning_rate': 0.01, 'n_jobs': -1, 'num_leaves': 150, 'reg_lambda': 0, 'reg_alpha': 0.5, 'colsample_bytree': 0.8, 'subsample': 1.0, 'sampling_method': 'KMeansSMOTE', 'scaling_method: minmax_scaling} 0.9821157001134454 0.9820919820919821 0.8513472599782528 0.7754299958454508 0.8604112092452147 0.720675011284033 0.8676817176540043 0.6956993959718756 0.8400542827901024 0.9822719244064453 0.9907692100922926 0.9908599916909016 0.711925309864213 0.56 0.989803323738705 0.9961989891817384 0.7310190947517243 0.4451510333863275 0.989162990556839 0.9997904003353595 0.7462004447511694 0.3916083916083916 0.9923935202867036 0.9820877084620135 0.6877150452935012 0.9824561403508771 120.6 56 5349.0 4770 58.6 1 41.0 87
141 39 LGBMClassifier None 0.9792601903393787 0.8384270816988444 0.8529001681133039 0.8675950871283911 0.8280699305141276 0.9892646377028084 0.6875895256948803 0.9873742050916658 0.7184261311349421 0.9861295193990258 0.7490606548577563 0.9924787761563503 0.6636610848719049 121.0 5332.5 75.0 40.5
142 40 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'learning_rate': 0.05, 'n_jobs': -1, 'num_leaves': 150, 'reg_lambda': 0.1, 'reg_alpha': 0.1, 'colsample_bytree': 1.0, 'subsample': 0.6, 'sampling_method': 'KMeansSMOTE', 'scaling_method: minmax_scaling} 0.9817207786241676 0.9863654863654864 0.8494235386470421 0.8527317741939091 0.8575486376379056 0.8116037206067368 0.8657665358167679 0.7894761913835484 0.8432047170808035 0.9548922056384743 0.9905586334676693 0.9930171964564878 0.7082884438264151 0.7124463519313304 0.9895389220058037 0.9963192236908148 0.7255583532700074 0.6268882175226587 0.9888676318666466 0.9985328023475163 0.742665439766889 0.5804195804195804 0.9922928351561241 0.9875621890547264 0.6941165990054828 0.9222222222222223 120.0 83 5347.4 4764 60.2 7 41.6 60
143 41 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight', 'scaling_method: standard_scaling}, 'learning_rate': 0.2, 'n_jobs': -1, 'num_leaves': 31, 'reg_lambda': 0.5, 'reg_alpha': 0, 'colsample_bytree': 1.0, 'subsample': 1.0, 'sampling_method': 'class_weight', 'scaling_method: standard_scaling} 0.9806073438723532 0.9867724867724867 0.849366612207097 0.857127840635882 0.8554362736427322 0.8154847231608375 0.8651781320305366 0.7930774947123721 0.8524461868996427 0.9605514096185739 0.9899497824843586 0.993225638353309 0.7087834419298353 0.721030042918455 0.9885998376734619 0.9965283587083821 0.7222727096120025 0.6344410876132931 0.987721496788625 0.9987424020121568 0.7426347672724484 0.5874125874125874 0.9922888016590979 0.9877694859038143 0.7126035721401874 0.9333333333333333 120.0 84 5341.2 4765 66.4 6 41.6 59
144 42 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight', 'scaling_method: quantile_normal}, 'learning_rate': 0.01, 'n_jobs': -1, 'num_leaves': 100, 'reg_lambda': 0.1, 'reg_alpha': 0.5, 'colsample_bytree': 0.8, 'subsample': 1.0, 'sampling_method': 'class_weight', 'scaling_method: quantile_normal} 0.9764784861568577 0.9812779812779813 0.8201130763660498 0.760530374940674 0.8367562736806698 0.70601628732512 0.8510370520532089 0.6817133819858616 0.8011721086177394 0.9812058237881016 0.9878206086456427 0.9904485049833887 0.6524055440864571 0.5306122448979592 0.9856454758514996 0.9960325746502401 0.68786707150984 0.416 0.9842073760947623 0.9997904003353595 0.7178667280116555 0.36363636363636365 0.9914945856451498 0.9812795721045052 0.6108496315903289 0.9811320754716981 116.0 52 5322.2 4770 85.4 1 45.6 91
145 43 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight', 'scaling_method: minmax_scaling}, 'learning_rate': 0.01, 'n_jobs': -1, 'num_leaves': 100, 'reg_lambda': 0.5, 'reg_alpha': 0.5, 'colsample_bytree': 0.8, 'subsample': 0.6, 'sampling_method': 'class_weight', 'scaling_method: minmax_scaling} 0.9834085842602015 0.9837199837199837 0.8549544289457188 0.8089235130232585 0.8556252827959667 0.7585751528706971 0.8569551589122841 0.7338465349364531 0.8570224235739851 0.9639846097024019 0.9914505825232899 0.9916788017474516 0.7184582753681475 0.6261682242990654 0.991297239471774 0.9961549713712542 0.7199533261201596 0.52099533437014 0.9911973356912964 0.9991616013414378 0.722712982133272 0.46853146853146854 0.9917155023999495 0.9843072475738179 0.7223293447480204 0.9436619718309859 116.8 67 5360.0 4767 47.6 4 44.8 76
146 44 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'learning_rate': 0.2, 'n_jobs': -1, 'num_leaves': 31, 'reg_lambda': 0.5, 'reg_alpha': 0, 'colsample_bytree': 0.8, 'subsample': 0.8, 'sampling_method': 'KMeansSMOTE', 'scaling_method: robust_scaling} 0.9807510413667865 0.9863654863654864 0.8517719437417742 0.8539546788327481 0.8619610020419592 0.8143617723634435 0.8741567263124779 0.7928678950477315 0.845928601059358 0.9504039456837321 0.9900224258915911 0.9930157406442197 0.7135214615919575 0.7148936170212766 0.9883845963449216 0.9961934242449594 0.7355374077389972 0.6325301204819277 0.9873135293061919 0.9983232026828757 0.760999923318764 0.5874125874125874 0.99283808177254 0.9877644131065948 0.6990191203461761 0.9130434782608695 123.0 84 5339.0 4763 68.6 8 38.6 59
147 45 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'learning_rate': 0.1, 'n_jobs': -1, 'num_leaves': 31, 'reg_lambda': 0.1, 'reg_alpha': 0.5, 'colsample_bytree': 0.8, 'subsample': 0.8, 'sampling_method': 'KMeansSMOTE', 'scaling_method: robust_scaling} 0.9772684838776338 0.9863654863654864 0.8241098416959989 0.8527317741939091 0.8394378219598515 0.8116037206067368 0.8526300052313689 0.7894761913835484 0.8063860855005351 0.9548922056384743 0.9882341469464091 0.9930171964564878 0.6599855364455885 0.7124463519313304 0.9862552646743155 0.9963192236908148 0.6926203792453873 0.6268882175226587 0.9849471510194434 0.9985328023475163 0.7203128594432944 0.5804195804195804 0.9915776329317592 0.9875621890547264 0.6211945380693112 0.9222222222222223 116.4 83 5326.2 4764 81.4 7 45.2 60
148 46 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'learning_rate': 0.01, 'n_jobs': -1, 'num_leaves': 50, 'reg_lambda': 0, 'reg_alpha': 0, 'colsample_bytree': 0.6, 'subsample': 0.8, 'sampling_method': 'KMeansSMOTE', 'scaling_method: robust_scaling} 0.9783448062869186 0.9847374847374848 0.8324478242848787 0.8248645319670342 0.8358605096890624 0.7759593679458239 0.8429820274103893 0.7513290524189706 0.8410958704720605 0.9663464676573617 0.9887806225598877 0.9921948173587262 0.6761150260098698 0.6575342465753424 0.9875120556553542 0.9963631803360923 0.6842089637227706 0.5555555555555556 0.986684858440133 0.9991616013414378 0.6992791963806457 0.5034965034965035 0.9909704638375854 0.9853245142620918 0.6912212771065356 0.9473684210526315 113.0 72 5335.6 4767 72.0 4 48.6 71
149 47 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': 0.6, 'subsample': 0.6, 'sampling_method': 'KMeansSMOTE', 'scaling_method: quantile_uniform} 0.9799971888496625 0.985958485958486 0.8248955338505963 0.8470544772514138 0.8229469502947246 0.8049361241017452 0.8222226604207792 0.7824831843905413 0.830248976263219 0.953803733564405 0.9896933568779123 0.9928102532041263 0.6600977108232805 0.7012987012987013 0.9897070144126049 0.9962358845671268 0.6561868861768446 0.6136363636363636 0.9897179226358993 0.9985328023475163 0.6547273982056592 0.5664335664335665 0.9896778428306672 0.9871529216742644 0.6708201096957709 0.9204545454545454 105.8 81 5352.0 4764 55.6 7 55.8 62
150 48 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight', 'scaling_method: quantile_uniform}, 'learning_rate': 0.2, 'n_jobs': -1, 'num_leaves': 100, 'reg_lambda': 0.1, 'reg_alpha': 0, 'colsample_bytree': 0.8, 'subsample': 0.8, 'sampling_method': 'class_weight', 'scaling_method: quantile_uniform} 0.9797455070757491 0.9861619861619861 0.8452822821912047 0.8486315083758391 0.8528907128573671 0.8054854277835695 0.8647804290266299 0.7825879842228616 0.8482529273927678 0.959095032968289 0.9894948848625743 0.9929151906647218 0.7010696795198355 0.7043478260869566 0.9878829037603417 0.9964033290117519 0.7178985219543923 0.6145675265553869 0.9868340732974896 0.9987424020121568 0.7427267847557703 0.5664335664335665 0.9922881111013787 0.9871555831779574 0.704217743684157 0.9310344827586207 120.0 81 5336.4 4765 71.2 6 41.6 62
151 49 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight', 'scaling_method: quantile_uniform}, 'learning_rate': 0.01, 'n_jobs': -1, 'num_leaves': 150, 'reg_lambda': 0.1, 'reg_alpha': 0.1, 'colsample_bytree': 0.8, 'subsample': 0.6, 'sampling_method': 'class_weight', 'scaling_method: quantile_uniform} 0.9689367758749141 0.9816849816849816 0.7993151503998497 0.768054375531011 0.8373773699559699 0.7133688922674606 0.8789167126308026 0.6887063889788685 0.7663079914084066 0.9817508278920092 0.9837856946319384 0.9906542056074766 0.614844606167761 0.5454545454545454 0.9781627859460705 0.9961157749655432 0.696591953965869 0.430622009569378 0.9744809216192465 0.9997904003353595 0.7833525036423588 0.3776223776223776 0.9934342428700166 0.9816834739658366 0.5391817399467964 0.9818181818181818 126.6 54 5269.6 4770 138.0 1 35.0 89
152 50 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'learning_rate': 0.05, 'n_jobs': -1, 'num_leaves': 150, 'reg_lambda': 0.5, 'reg_alpha': 0, 'colsample_bytree': 0.6, 'subsample': 0.6, 'sampling_method': 'KMeansSMOTE', 'scaling_method: minmax_scaling} 0.982403256292125 0.985958485958486 0.8510105301844396 0.8470544772514138 0.8601189787164089 0.8049361241017452 0.8666782338897926 0.7824831843905413 0.8374995504601527 0.953803733564405 0.9909248295676066 0.9928102532041263 0.7110962308012724 0.7012987012987013 0.9900890422920631 0.9962358845671268 0.7301489151407548 0.6136363636363636 0.9895331413475628 0.9985328023475163 0.743823326432022 0.5664335664335665 0.992322997032212 0.9871529216742644 0.6826761038880934 0.9204545454545454 120.2 81 5351.0 4764 56.6 7 41.4 62
153 51 LGBMClassifier None 0.9753119264664969 0.8260884089424821 0.8724495272260513 0.9121794496045472 0.7717243950545838 0.9871837019945402 0.664993115890424 0.9823764111359851 0.7625226433161176 0.9791974852071006 0.8451614140019937 0.9953012991015383 0.5481474910076294 136.5 5295.5 112.5 25.0
154 52 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight', 'scaling_method: quantile_normal}, 'learning_rate': 0.2, 'n_jobs': -1, 'num_leaves': 50, 'reg_lambda': 0.1, 'reg_alpha': 0.1, 'colsample_bytree': 1.0, 'subsample': 0.8, 'sampling_method': 'class_weight', 'scaling_method: quantile_normal} 0.9759026903546918 0.9867724867724867 0.8298822916052655 0.8594806048391886 0.8420096580769314 0.8209612097036796 0.8597576648334746 0.7998609020407386 0.8307096793402409 0.9515339454400988 0.9874595860185262 0.9932228130539047 0.6723049971920049 0.7257383966244726 0.9847961108740391 0.9962767737617135 0.6992232052798236 0.6456456456456456 0.9830610700242838 0.9983232026828757 0.7364542596426654 0.6013986013986014 0.99206693521972 0.9881742738589212 0.6693524234607618 0.9148936170212766 119.0 86 5316.0 4763 91.6 8 42.6 57
155 53 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'learning_rate': 0.05, 'n_jobs': -1, 'num_leaves': 150, 'reg_lambda': 0.5, 'reg_alpha': 0.5, 'colsample_bytree': 0.6, 'subsample': 1.0, 'sampling_method': 'KMeansSMOTE', 'scaling_method: minmax_scaling} 0.9737121465873054 0.9863654863654864 0.8083174226865129 0.8502218435235476 0.8282884440982172 0.8060361396040803 0.8471569756795375 0.7826927840551818 0.7875279032272675 0.9645093543477004 0.9863589979844261 0.9930201062610688 0.6302758473885997 0.7074235807860262 0.9834348952436688 0.9965707594513216 0.6731419929527652 0.6155015197568389 0.9815081849301202 0.9989520016767973 0.7128057664289549 0.5664335664335665 0.9913254692960933 0.9871582435791217 0.5837303371584416 0.9418604651162791 115.2 81 5307.6 4766 100.0 5 46.4 62
156 54 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'learning_rate': 0.01, 'n_jobs': -1, 'num_leaves': 31, 'reg_lambda': 0.1, 'reg_alpha': 0.1, 'colsample_bytree': 1.0, 'subsample': 0.8, 'sampling_method': 'KMeansSMOTE', 'scaling_method: minmax_scaling} 0.9753283710512124 0.9849409849409849 0.8157634019420502 0.8279672242827947 0.8316717897833543 0.7794042652854036 0.8479579455170292 0.7548255559154742 0.8024099197458974 0.9667900840115022 0.9872056371977728 0.9922980849292257 0.6443211666863277 0.6636363636363637 0.9847718779027629 0.996404832573889 0.678571701663946 0.5624036979969184 0.9831714695939846 0.9991616013414378 0.7127444214400736 0.5104895104895105 0.9913525845990734 0.9855282199710564 0.6134672548927214 0.948051948051948 115.2 73 5316.6 4767 91.0 4 46.4 70
157 55 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight', 'scaling_method: minmax_scaling}, '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': 'class_weight', 'scaling_method: minmax_scaling} 0.9768368111110073 0.9818884818884819 0.8300166055899931 0.7761648007165248 0.8494587500609871 0.7234277289115024 0.8697650593975809 0.6989862998037385 0.8113743592093601 0.9661413267408323 0.9879694660210914 0.9907532467532467 0.6720637451588948 0.5615763546798029 0.9852274703896955 0.9959060907343972 0.7136900297322787 0.4509493670886076 0.9834301264632851 0.9993712010060783 0.7560999923318764 0.3986013986013986 0.9926667742399609 0.9822826534816647 0.6300819441787591 0.95 122.2 57 5318.0 4768 89.6 3 39.4 86
158 56 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight', 'scaling_method: yeo_johnson}, 'learning_rate': 0.2, 'n_jobs': -1, 'num_leaves': 50, 'reg_lambda': 0, 'reg_alpha': 0.5, 'colsample_bytree': 0.8, 'subsample': 1.0, 'sampling_method': 'class_weight', 'scaling_method: yeo_johnson} 0.9761541529104594 0.9865689865689866 0.8269003989802677 0.8579034533521438 0.8395037713867026 0.8203934680779092 0.8562448175678098 0.7997561022084183 0.82146953708495 0.94671748888719 0.9876025742104474 0.9931178310740355 0.6661982237500877 0.7226890756302521 0.9851443540134041 0.9961092749864033 0.6938631887600011 0.6446776611694153 0.9835424685072933 0.9981136030182352 0.728947166628326 0.6013986013986014 0.9918535470429868 0.9881718198796431 0.6510855271269133 0.9052631578947369 117.8 86 5318.6 4762 89.0 9 43.8 57
159 57 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight', 'scaling_method: standard_scaling}, 'learning_rate': 0.05, 'n_jobs': -1, 'num_leaves': 31, 'reg_lambda': 0.1, 'reg_alpha': 0.1, 'colsample_bytree': 1.0, 'subsample': 0.6, 'sampling_method': 'class_weight', 'scaling_method: standard_scaling} 0.9658474248154295 0.9865689865689866 0.7897871271949795 0.859058197747184 0.8301134904644012 0.823103823451108 0.8756337983860825 0.8031478058726016 0.7524429696324038 0.9426408617246906 0.9821120633193198 0.9931163954943679 0.5974621910706392 0.725 0.9756359818927803 0.9959834316555792 0.6845909990360222 0.6502242152466368 0.9714117574960357 0.9979040033535946 0.7798558392761292 0.6083916083916084 0.9932979844350699 0.988374506954536 0.5115879548297381 0.8969072164948454 126.0 87 5253.0 4761 154.6 10 35.6 56
160 58 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight', 'scaling_method: box_cox}, 'learning_rate': 0.05, 'n_jobs': -1, 'num_leaves': 150, 'reg_lambda': 0.5, 'reg_alpha': 0, 'colsample_bytree': 0.6, 'subsample': 1.0, 'sampling_method': 'class_weight', 'scaling_method: box_cox} 0.9779134494523254 0.9857549857549858 0.8321403755361156 0.8428453947368422 0.8498206292092878 0.7987688246606277 0.8670366828955973 0.7755949772298546 0.8164600353628684 0.9580792515805245 0.9885582477802499 0.9927083333333333 0.6757225032919814 0.6929824561403509 0.9862592653166825 0.9963199933090787 0.7133819931018932 0.6012176560121766 0.9847443266070829 0.9987424020121568 0.7493290391841116 0.5524475524475524 0.9924620554585613 0.9867467384551667 0.6404580152671756 0.9294117647058824 121.0 79 5325.0 4765 82.5 6 40.5 64
161 59 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'learning_rate': 0.1, 'n_jobs': -1, 'num_leaves': 50, 'reg_lambda': 0, 'reg_alpha': 0.5, 'colsample_bytree': 1.0, 'subsample': 0.6, 'sampling_method': 'KMeansSMOTE', 'scaling_method: maxabs_scaling} 0.9833010061790504 0.986975986975987 0.8577568437474928 0.8610706662331604 0.8605200844664489 0.8215303999383525 0.8646725003562755 0.7999657018730588 0.8615441686021855 0.9564539548079303 0.9913852341365601 0.9933277731442869 0.7241284533584256 0.7288135593220338 0.9909137758382218 0.9964442585233215 0.730126393094676 0.6466165413533834 0.99060564023406 0.9985328023475163 0.7387393604784909 0.6013986013986014 0.9921958450793478 0.9881767268201618 0.730892492125023 0.9247311827956989 119.4 86 5356.8 4764 50.8 7 42.2 57
162 60 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'learning_rate': 0.2, 'n_jobs': -1, 'num_leaves': 31, 'reg_lambda': 0.1, 'reg_alpha': 0.1, 'colsample_bytree': 0.8, 'subsample': 0.6, 'sampling_method': 'KMeansSMOTE', 'scaling_method: yeo_johnson} 0.9820082187461818 0.9861619861619861 0.8470753263630572 0.852387582872733 0.8491725052449773 0.8138024416825372 0.8527066391893212 0.7927630952154112 0.849642712609396 0.945493840790627 0.9907172733342712 0.9929107589658048 0.7034333793918432 0.711864406779661 0.9902694579815364 0.9960259359966535 0.708075552508418 0.631578947368421 0.9899773455514055 0.9981136030182352 0.7154359328272372 0.5874125874125874 0.9914897426405004 0.9877618751296412 0.7077956825782913 0.9032258064516129 115.6 84 5353.4 4762 54.2 9 46.0 59
163 61 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight', 'scaling_method: robust_scaling}, 'learning_rate': 0.01, 'n_jobs': -1, 'num_leaves': 31, 'reg_lambda': 0.5, 'reg_alpha': 0.1, 'colsample_bytree': 0.8, 'subsample': 0.6, 'sampling_method': 'class_weight', 'scaling_method: robust_scaling} 0.9776623930948863 0.9849409849409849 0.8317227363011209 0.8279672242827947 0.8437835150948884 0.7794042652854036 0.8587441382284814 0.7548255559154742 0.8258773212800261 0.9667900840115022 0.9884091435256124 0.9922980849292257 0.6750363290766297 0.6636363636363637 0.9863368724572206 0.996404832573889 0.7012301577325564 0.5624036979969184 0.9849831004735259 0.9991616013414378 0.7325051759834369 0.5104895104895105 0.9919777577691296 0.9855282199710564 0.6597768847909224 0.948051948051948 118.4 73 5326.4 4767 81.2 4 43.2 70
164 62 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'learning_rate': 0.05, 'n_jobs': -1, 'num_leaves': 31, 'reg_lambda': 0.1, 'reg_alpha': 0.5, 'colsample_bytree': 1.0, 'subsample': 0.6, 'sampling_method': 'KMeansSMOTE', 'scaling_method: yeo_johnson} 0.9803919169111648 0.9865689865689866 0.8424214578030773 0.8543196878009516 0.841474707489305 0.8121616449258658 0.8440053934568276 0.7895809912158687 0.8539164462273398 0.9600745182511498 0.9898568152145358 0.9931221342225928 0.6949861003916188 0.7155172413793104 0.9892110796443113 0.9964866786565728 0.6937383353342985 0.6278366111951589 0.9887929355218908 0.9987424020121568 0.6992178513917644 0.5804195804195804 0.99098334007117 0.9875647668393782 0.7168495523835099 0.9325842696629213 113.0 83 5347.0 4765 60.6 6 48.6 60
165 63 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight', 'scaling_method: yeo_johnson}, 'learning_rate': 0.2, 'n_jobs': -1, 'num_leaves': 100, 'reg_lambda': 0.1, 'reg_alpha': 0.5, 'colsample_bytree': 1.0, 'subsample': 0.6, 'sampling_method': 'class_weight', 'scaling_method: yeo_johnson} 0.9820438739328026 0.9867724867724867 0.8579228519605394 0.8594806048391886 0.8595169946903727 0.8209612097036796 0.8652845357557835 0.7998609020407386 0.8669571982823783 0.9515339454400988 0.9907021407556333 0.9932228130539047 0.725143563165445 0.7257383966244726 0.9898131512697832 0.9962767737617135 0.7292208381109624 0.6456456456456456 0.9892378852528445 0.9983232026828757 0.7413311862587225 0.6013986013986014 0.992255167467991 0.9881742738589212 0.7416592290967658 0.9148936170212766 119.8 86 5349.4 4763 58.2 8 41.8 57
166 64 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight', 'scaling_method: quantile_uniform}, 'learning_rate': 0.01, 'n_jobs': -1, 'num_leaves': 100, 'reg_lambda': 0.5, 'reg_alpha': 0.5, 'colsample_bytree': 0.6, 'subsample': 1.0, 'sampling_method': 'class_weight', 'scaling_method: quantile_uniform} 0.9738558505293312 0.98005698005698 0.8120798264622913 0.7397065691158157 0.8385858650268416 0.6870396694424928 0.8634443141916874 0.6641260646710239 0.7852262517717614 0.9697254441344882 0.9864277090209104 0.9898298048982981 0.6377319439036724 0.4895833333333333 0.9829498687933033 0.9956574387239551 0.6942218612603801 0.3784219001610306 0.9806575111377646 0.999580800670719 0.74623111724561 0.32867132867132864 0.992331328512923 0.9802672147995889 0.5781211750305998 0.9591836734693877 120.6 47 5303.0 4769 104.6 2 41.0 96
167 65 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight', 'scaling_method: maxabs_scaling}, 'learning_rate': 0.2, 'n_jobs': -1, 'num_leaves': 150, 'reg_lambda': 0, 'reg_alpha': 0.5, 'colsample_bytree': 1.0, 'subsample': 0.6, 'sampling_method': 'class_weight', 'scaling_method: maxabs_scaling} 0.9777703515839962 0.9861619861619861 0.8382505299397941 0.8511569731081927 0.8475719521165536 0.8110472197412031 0.8625351453657594 0.789371391551228 0.8387905234820103 0.9498237611445158 0.9884364315260923 0.9929122368146759 0.6880646283534957 0.7094017094017094 0.9862753463219119 0.9961517547161919 0.7088685579111951 0.6259426847662142 0.9848739867670989 0.9983232026828757 0.7401963039644199 0.5804195804195804 0.9922026694196122 0.9875596102011196 0.6853783775444082 0.9120879120879121 119.6 83 5325.8 4763 81.8 8 42.0 60
168 66 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'learning_rate': 0.1, 'n_jobs': -1, 'num_leaves': 100, 'reg_lambda': 0, 'reg_alpha': 0.5, 'colsample_bytree': 1.0, 'subsample': 0.6, 'sampling_method': 'KMeansSMOTE', 'scaling_method: standard_scaling} 0.9808591481505241 0.9865689865689866 0.8399582262777251 0.8567291245529467 0.8471930744255717 0.8176664208104449 0.8538231695682811 0.796364398544235 0.8336299595514479 0.9509738977992787 0.9901217847951654 0.9931192660550459 0.6897946677602851 0.7203389830508474 0.9892555258286684 0.9962350972599875 0.7051306230224748 0.6390977443609023 0.9886830694486548 0.9983232026828757 0.7189632696879074 0.5944055944055944 0.9915859453677907 0.9879693009749014 0.6756739737351052 0.9139784946236559 116.2 85 5346.4 4763 61.2 8 45.4 58
169 67 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'learning_rate': 0.2, 'n_jobs': -1, 'num_leaves': 150, 'reg_lambda': 0.5, 'reg_alpha': 0, 'colsample_bytree': 0.6, 'subsample': 0.8, 'sampling_method': 'KMeansSMOTE', 'scaling_method: robust_scaling} 0.9770165828855749 0.9865689865689866 0.8216580806049324 0.8530835228353733 0.826344825541093 0.8093836088798947 0.8344143935397998 0.7861892875516854 0.8293705190305127 0.9649457434116999 0.9880957091224053 0.9931235674098771 0.6552204520874597 0.7130434782608696 0.9867062517619154 0.9966124377901384 0.6659833993202708 0.622154779969651 0.985798344628867 0.9989520016767973 0.6830304424507322 0.5734265734265734 0.9904864350657565 0.9873627511912161 0.668254602995269 0.9425287356321839 110.4 82 5330.8 4766 76.8 5 51.2 61
170 68 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'learning_rate': 0.05, 'n_jobs': -1, 'num_leaves': 31, 'reg_lambda': 0.5, 'reg_alpha': 0.5, 'colsample_bytree': 1.0, 'subsample': 0.6, 'sampling_method': 'KMeansSMOTE', 'scaling_method: quantile_normal} 0.979924930680321 0.985958485958486 0.8458315561660676 0.8470544772514138 0.8530421708307874 0.8049361241017452 0.8635325940056943 0.7824831843905413 0.8471282707693917 0.953803733564405 0.9895937640898845 0.9928102532041263 0.7020693482422506 0.7012987012987013 0.988079438191725 0.9962358845671268 0.7180049034698496 0.6136363636363636 0.987091259631663 0.9985328023475163 0.7399739283797254 0.5664335664335665 0.9922055460265679 0.9871529216742644 0.7020509955122156 0.9204545454545454 119.6 81 5337.8 4764 69.8 7 42.0 62
171 69 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'learning_rate': 0.1, 'n_jobs': -1, 'num_leaves': 50, 'reg_lambda': 0.1, 'reg_alpha': 0, 'colsample_bytree': 1.0, 'subsample': 1.0, 'sampling_method': 'KMeansSMOTE', 'scaling_method: quantile_uniform} 0.9853837397519547 0.9865689865689866 0.8679835081691707 0.8543196878009516 0.8617192807584015 0.8121616449258658 0.857999207530489 0.7895809912158687 0.8803958145621478 0.9600745182511498 0.9924769954388915 0.9931221342225928 0.7434900208994499 0.7155172413793104 0.9929292185461334 0.9964866786565728 0.7305093429706695 0.6278366111951589 0.993231756062435 0.9987424020121568 0.7227666589985431 0.5804195804195804 0.9917275054720716 0.9875647668393782 0.7690641236522241 0.9325842696629213 116.8 83 5371.0 4765 36.6 6 44.8 60
172 70 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'learning_rate': 0.01, 'n_jobs': -1, 'num_leaves': 50, 'reg_lambda': 0.5, 'reg_alpha': 0.1, 'colsample_bytree': 1.0, 'subsample': 0.8, 'sampling_method': 'KMeansSMOTE', 'scaling_method: quantile_normal} 0.9752923032186704 0.9812779812779813 0.8249546617463068 0.7652222683838803 0.8340434466709794 0.7125170389395925 0.8473939896070712 0.688496789314228 0.8215803209853842 0.96452217634884 0.9871300487878688 0.9904445367677607 0.6627792747047447 0.54 0.9847295224977026 0.9957812956852262 0.6833573708442562 0.4292527821939587 0.9831707719447614 0.9993712010060783 0.7116172072693813 0.3776223776223776 0.9913053217303827 0.9816759316450484 0.6518553202403858 0.9473684210526315 115.0 54 5316.6 4768 91.0 3 46.6 89
173 71 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'learning_rate': 0.01, 'n_jobs': -1, 'num_leaves': 150, 'reg_lambda': 0, 'reg_alpha': 0.1, 'colsample_bytree': 0.8, 'subsample': 1.0, 'sampling_method': 'KMeansSMOTE', 'scaling_method: standard_scaling} 0.9762272299240505 0.9804639804639804 0.8150636822940207 0.7450186799501868 0.8242232994048664 0.6911698228300356 0.832909357034924 0.6677273679998476 0.807188633775325 0.9800323006900602 0.9876963580045018 0.9900373599003736 0.6424310065835395 0.5 0.9861069348526046 0.9958662157083803 0.662339663957128 0.3864734299516908 0.985058036207721 0.9997904003353595 0.680760677862127 0.3356643356643357 0.99038897280239 0.9804727646454265 0.6239882947482601 0.9795918367346939 110.0 48 5326.8 4770 80.8 1 51.6 95
174 72 LGBMClassifier {'boosting_type': 'gbdt', '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': 50, 'reg_lambda': 0, 'reg_alpha': 0, 'colsample_bytree': 0.8, 'subsample': 0.8, 'sampling_method': 'class_weight', 'scaling_method: quantile_normal} 0.9731749847595031 0.9867724867724867 0.814444212361235 0.857127840635882 0.8354495748768882 0.8154847231608375 0.8600646557763737 0.7930774947123721 0.7972330221764079 0.9605514096185739 0.9860188774715635 0.993225638353309 0.6428695472509064 0.721030042918455 0.9824605742405346 0.9965283587083821 0.688438575513242 0.6344410876132931 0.9801400469258018 0.9987424020121568 0.7399892646269457 0.5874125874125874 0.9921664337371359 0.9877694859038143 0.6022996106156802 0.9333333333333333 119.6 84 5300.2 4765 107.4 6 42.0 59
175 73 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'learning_rate': 0.01, 'n_jobs': -1, 'num_leaves': 150, 'reg_lambda': 0, 'reg_alpha': 0.1, 'colsample_bytree': 0.8, 'subsample': 0.6, 'sampling_method': 'KMeansSMOTE', 'scaling_method: quantile_normal} 0.9798894366835131 0.9812779812779813 0.83341495510802 0.760530374940674 0.8372989982797974 0.70601628732512 0.8425527387674808 0.6817133819858616 0.8359335546739807 0.9812058237881016 0.9896154316626145 0.9904485049833887 0.6772144785534256 0.5306122448979592 0.988850958474883 0.9960325746502401 0.6857470380847117 0.416 0.988349093822056 0.9997904003353595 0.6967563837129054 0.36363636363636365 0.9909209951807121 0.9812795721045052 0.6809461141672495 0.9811320754716981 112.6 52 5344.6 4770 63.0 1 49.0 91
176 74 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'learning_rate': 0.05, 'n_jobs': -1, 'num_leaves': 100, 'reg_lambda': 0.5, 'reg_alpha': 0, 'colsample_bytree': 0.6, 'subsample': 0.8, 'sampling_method': 'KMeansSMOTE', 'scaling_method: quantile_normal} 0.9750050500768392 0.9865689865689866 0.8171919070703293 0.8567291245529467 0.8258264176016814 0.8176664208104449 0.8370329891083935 0.796364398544235 0.8140576832902916 0.9509738977992787 0.9870126448473494 0.9931192660550459 0.6473711692933093 0.7203389830508474 0.9848908388126805 0.9962350972599875 0.6667619963906823 0.6390977443609023 0.9835054383808848 0.9983232026828757 0.6905605398359022 0.5944055944055944 0.9906698292245439 0.9879693009749014 0.6374455373560391 0.9139784946236559 111.6 85 5318.4 4763 89.2 8 50.0 58
177 75 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight', 'scaling_method: robust_scaling}, 'learning_rate': 0.05, 'n_jobs': -1, 'num_leaves': 31, 'reg_lambda': 0.1, 'reg_alpha': 0.1, 'colsample_bytree': 0.8, 'subsample': 0.8, 'sampling_method': 'class_weight', 'scaling_method: robust_scaling} 0.9742867560324481 0.9865689865689866 0.8151460357863373 0.8543196878009516 0.8292466309330297 0.8121616449258658 0.8461629261650947 0.7895809912158687 0.8101575490704283 0.9600745182511498 0.9866396350258171 0.9931221342225928 0.6436524365468571 0.7155172413793104 0.9839411474690486 0.9964866786565728 0.6745521143970107 0.6278366111951589 0.9821732566703473 0.9987424020121568 0.710152595659842 0.5804195804195804 0.9912647659830458 0.9875647668393782 0.6290503321578106 0.9325842696629213 114.8 83 5311.2 4765 96.4 6 46.8 60
178 76 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'learning_rate': 0.1, 'n_jobs': -1, 'num_leaves': 150, 'reg_lambda': 0.1, 'reg_alpha': 0, 'colsample_bytree': 0.6, 'subsample': 0.6, 'sampling_method': 'KMeansSMOTE', 'scaling_method: standard_scaling} 0.9845219094029432 0.9863654863654864 0.8609354816281533 0.8502218435235476 0.8549542176415181 0.8060361396040803 0.8515445631505217 0.7826927840551818 0.8735013847390427 0.9645093543477004 0.9920318990357069 0.9930201062610688 0.7298390642205993 0.7074235807860262 0.9924404309139714 0.9965707594513216 0.7174680043690649 0.6155015197568389 0.9927141550565068 0.9989520016767973 0.7103749712445364 0.5664335664335665 0.9913564766410682 0.9871582435791217 0.755646292837017 0.9418604651162791 114.8 81 5368.2 4766 39.4 5 46.8 62
179 77 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'learning_rate': 0.05, 'n_jobs': -1, 'num_leaves': 100, 'reg_lambda': 0, 'reg_alpha': 0.5, 'colsample_bytree': 1.0, 'subsample': 0.8, 'sampling_method': 'KMeansSMOTE', 'scaling_method: quantile_uniform} 0.9799609856176777 0.9865689865689866 0.8260127274536095 0.8543196878009516 0.825940082782677 0.8121616449258658 0.8264110108701989 0.7895809912158687 0.828041376219286 0.9600745182511498 0.9896724073258893 0.9931221342225928 0.6623530475813297 0.7155172413793104 0.9895211800788104 0.9964866786565728 0.6623589854865437 0.6278366111951589 0.9894219757316561 0.9987424020121568 0.6634000460087417 0.5804195804195804 0.9899309372632882 0.9875647668393782 0.6661518151752839 0.9325842696629213 107.2 83 5350.4 4765 57.2 6 54.4 60
180 78 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight', 'scaling_method: quantile_uniform}, 'learning_rate': 0.01, 'n_jobs': -1, 'num_leaves': 150, 'reg_lambda': 0, 'reg_alpha': 0.5, 'colsample_bytree': 0.8, 'subsample': 0.8, 'sampling_method': 'class_weight', 'scaling_method: quantile_uniform} 0.9815417612179245 0.9849409849409849 0.8370892724681316 0.8248543487307533 0.8314565714988538 0.7735219071225486 0.8290097804787881 0.7480421485871077 0.8518398027880527 0.9788648897969117 0.9904899046888289 0.9923012900540991 0.6836886402474345 0.6574074074074074 0.9907570490228478 0.9966562173458725 0.6721560939748599 0.5503875968992248 0.9909388156159613 0.999580800670719 0.667080745341615 0.4965034965034965 0.9900593825811231 0.9851270398677959 0.7136202229949824 0.9726027397260274 107.8 71 5358.6 4769 49.0 2 53.8 72
181 79 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight', 'scaling_method: quantile_uniform}, 'learning_rate': 0.01, 'n_jobs': -1, 'num_leaves': 150, 'reg_lambda': 0.1, 'reg_alpha': 0.1, 'colsample_bytree': 0.6, 'subsample': 1.0, 'sampling_method': 'class_weight', 'scaling_method: quantile_uniform} 0.983157308684617 0.9812779812779813 0.8487976472684634 0.760530374940674 0.8427474412613021 0.70601628732512 0.8394415621889346 0.6817133819858616 0.8625420854228029 0.9812058237881016 0.9913288713166084 0.9904485049833887 0.7062664232203185 0.5306122448979592 0.9917371062664044 0.9960325746502401 0.6937577762561999 0.416 0.9920109519984504 0.9997904003353595 0.6868721723794188 0.36363636363636365 0.9906552025195918 0.9812795721045052 0.734428968326014 0.9811320754716981 111.0 52 5364.4 4770 43.2 1 50.6 91
182 80 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight', 'scaling_method: quantile_normal}, 'learning_rate': 0.2, 'n_jobs': -1, 'num_leaves': 100, 'reg_lambda': 0, 'reg_alpha': 0.5, 'colsample_bytree': 0.8, 'subsample': 0.8, 'sampling_method': 'class_weight', 'scaling_method: quantile_normal} 0.9756872891838734 0.9867724867724867 0.823621814214863 0.8583142406586364 0.8382241501308559 0.818231408861414 0.8530097985302103 0.7964691983765553 0.8107078247789348 0.9559424197067787 0.987372013086109 0.9932242259981237 0.6598716153436167 0.723404255319149 0.9848811927952928 0.9964025767589726 0.6915671074664191 0.6400602409638554 0.9832452699382677 0.9985328023475163 0.7227743271221533 0.5944055944055944 0.9916250291587261 0.9879717959352966 0.6297906203991432 0.9239130434782609 116.8 85 5317.0 4764 90.6 7 44.8 58
183 81 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'learning_rate': 0.05, 'n_jobs': -1, 'num_leaves': 150, 'reg_lambda': 0.1, 'reg_alpha': 0, 'colsample_bytree': 0.6, 'subsample': 1.0, 'sampling_method': 'KMeansSMOTE', 'scaling_method: standard_scaling} 0.9802484321872844 0.9855514855514855 0.8410250023784599 0.8412798640324161 0.8540813030603902 0.7982282553760953 0.8655765132143115 0.7754901773975343 0.8259862427708897 0.9526743222673937 0.9897903490002546 0.9926033961871028 0.6922596557566651 0.6899563318777293 0.9882992027983051 0.9961525593844095 0.7198634033224753 0.6003039513677811 0.9873143637493804 0.9985328023475163 0.7438386626792424 0.5524475524475524 0.9923134040950636 0.9867439933719967 0.659659081446716 0.9186046511627907 120.2 79 5339.0 4764 68.6 7 41.4 64
184 82 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight', 'scaling_method: yeo_johnson}, 'learning_rate': 0.05, 'n_jobs': -1, 'num_leaves': 31, 'reg_lambda': 0, 'reg_alpha': 0.1, 'colsample_bytree': 0.6, 'subsample': 0.8, 'sampling_method': 'class_weight', 'scaling_method: yeo_johnson} 0.9789196478453919 0.985958485958486 0.8297839625424375 0.8495951170068601 0.8440376681784965 0.8104921358654731 0.8563900099483192 0.7892665917189078 0.8134017262111343 0.9448654716606857 0.9891054106285747 0.9928072552903159 0.6704625144563006 0.7063829787234043 0.987514512393601 0.9959842717309462 0.7005608239633919 0.625 0.9864630196665948 0.9981136030182352 0.7263170002300436 0.5804195804195804 0.9917939845012713 0.987557030277893 0.6350094679209973 0.9021739130434783 117.4 83 5334.4 4762 73.2 9 44.2 60
185 83 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight', 'scaling_method: quantile_uniform}, 'learning_rate': 0.05, 'n_jobs': -1, 'num_leaves': 31, 'reg_lambda': 0, 'reg_alpha': 0.5, 'colsample_bytree': 0.6, 'subsample': 0.6, 'sampling_method': 'class_weight', 'scaling_method: quantile_uniform} 0.965595614089666 0.9863654863654864 0.7808518042259656 0.8527317741939091 0.8113417765253867 0.8116037206067368 0.8454491057103614 0.7894761913835484 0.7555613052973253 0.9548922056384743 0.982031514906506 0.9930171964564878 0.5796720935454251 0.7124463519313304 0.9765729285243496 0.9963192236908148 0.6461106245264239 0.6268882175226587 0.9730008109146263 0.9985328023475163 0.7178974005060962 0.5804195804195804 0.99140804565846 0.9875621890547264 0.5197145649361907 0.9222222222222223 116.0 83 5261.6 4764 146.0 7 45.6 60
186 84 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight', 'scaling_method: quantile_uniform}, 'learning_rate': 0.2, 'n_jobs': -1, 'num_leaves': 31, 'reg_lambda': 0.5, 'reg_alpha': 0, 'colsample_bytree': 0.6, 'subsample': 0.8, 'sampling_method': 'class_weight', 'scaling_method: quantile_uniform} 0.9804637495394001 0.986975986975987 0.8358863603676212 0.8599124452782989 0.8413961228355775 0.8187978416363408 0.8464376940642888 0.7965739982088755 0.8315059928136446 0.9610201119635082 0.9899189395141331 0.9933291640608714 0.6818537812211093 0.7264957264957265 0.9891966177782177 0.9965700422470406 0.6935956278929374 0.6410256410256411 0.9887192651318749 0.9987424020121568 0.7041561229967027 0.5944055944055944 0.9911397048676733 0.9879742898610823 0.6718722807596158 0.9340659340659341 113.8 85 5346.6 4765 61.0 6 47.8 58
187 85 LGBMClassifier {'boosting_type': 'dart', 'objective': 'binary', 'class_weight': {0: 1, 1: 33, 'sampling_method': 'class_weight', 'scaling_method: quantile_normal}, 'learning_rate': 0.2, 'n_jobs': -1, 'num_leaves': 31, 'reg_lambda': 0, 'reg_alpha': 0.5, 'colsample_bytree': 0.6, 'subsample': 0.6, 'sampling_method': 'class_weight', 'scaling_method: quantile_normal} 0.9857070607263279 0.986975986975987 0.8683382367793973 0.8599124452782989 0.8593500289373835 0.8187978416363408 0.8539625517399745 0.7965739982088755 0.886188859458669 0.9610201119635082 0.9926477168442883 0.9933291640608714 0.7440287567145063 0.7264957264957265 0.993352313874228 0.9965700422470406 0.7253477440005394 0.6410256410256411 0.9938234241608785 0.9987424020121568 0.7141016793190706 0.5944055944055944 0.9914788791180082 0.9879742898610823 0.7808988397993295 0.9340659340659341 115.4 85 5374.2 4765 33.4 6 46.2 58
188 86 LGBMClassifier None 0.9870723674560347 0.8827468081515463 0.8786777368036316 0.8761376770190872 0.8902867967252663 0.9933472656072991 0.7721463506957933 0.9936774254343762 0.7636780481728869 0.9938979289940828 0.7583774250440918 0.9927985830727826 0.7877750103777501 122.5 5375.0 33.0 39.0
189 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
190 88 LGBMClassifier {'boosting_type': 'gbdt', 'objective': 'binary', 'learning_rate': 0.01, 'n_jobs': -1, 'num_leaves': 100, 'reg_lambda': 0, 'reg_alpha': 0, 'colsample_bytree': 0.8, 'subsample': 0.6, 'sampling_method': 'KMeansSMOTE', 'scaling_method: maxabs_scaling} 0.9805360592894818 0.9847374847374848 0.8384284257607127 0.8232871608808456 0.8464533991587719 0.7730122425865602 0.8536910781740286 0.7479373487547875 0.8309320868932646 0.9722917132008041 0.9899521267848416 0.9921964415773593 0.686904724736584 0.6543778801843319 0.988987471489779 0.9964888814579502 0.7039193268277651 0.5495356037151703 0.9883498735476584 0.9993712010060783 0.7190322828003988 0.4965034965034965 0.9915821419110996 0.9851239669421488 0.6702820318754299 0.9594594594594594 116.2 71 5344.6 4768 63.0 3 45.4 72
191 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
192 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
193 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
194 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
195 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
196 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
197 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
198 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
199 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
200 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
201 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

498
runner.py
View File

@@ -1,14 +1,14 @@
import pandas
from catboost import CatBoostClassifier
# from imblearn.ensemble import BalancedRandomForestClassifier
from imblearn.ensemble import BalancedRandomForestClassifier
from lightgbm import LGBMClassifier
# from sklearn.ensemble import RandomForestClassifier
# from sklearn.linear_model import LogisticRegression
from sklearn.ensemble import RandomForestClassifier
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import confusion_matrix
from sklearn.model_selection import train_test_split
# from xgboost import XGBClassifier
from xgboost import XGBClassifier
# from custom_models.LGBMFocalWrapper import LGBMFocalWrapper
from custom_models.LGBMFocalWrapper import LGBMFocalWrapper
from train import test_model, train_model_with_kfold
data_frame = pandas.read_csv("./data/Ketamin_icp_cleaned.csv")
@@ -28,265 +28,33 @@ pos = sum(y_train == 1)
scale_pos = neg / pos if pos > 0 else 1.0
models = [
# {
# "name": "LGBM_FOCAL_LOSS",
# "model": LGBMFocalWrapper(
# n_estimators=500,
# learning_rate=0.05,
# max_depth=-1,
# subsample=0.8,
# colsample_bytree=0.8,
# random_state=42,
# ),
# "smote": True,
# "smote_method": "kmeans",
# },
# {
# "name": "LGBM_SMOTE",
# "model": LGBMClassifier(
# n_estimators=500,
# learning_rate=0.05,
# max_depth=-1,
# subsample=0.8,
# colsample_bytree=0.8,
# random_state=42,
# verbose=-1,
# n_jobs=-1,
# ),
# "smote": True,
# "smote_method": "smote",
# },
# {
# "name": "LGBM_KMEANS_SMOTE",
# "model": LGBMClassifier(
# n_estimators=500,
# learning_rate=0.05,
# max_depth=-1,
# subsample=0.8,
# colsample_bytree=0.8,
# random_state=42,
# verbose=-1,
# n_jobs=-1,
# ),
# "smote": True,
# "smote_method": "kmeans",
# },
# {
# "name": "LGBM_SVM_SMOTE",
# "model": LGBMClassifier(
# n_estimators=500,
# learning_rate=0.05,
# max_depth=-1,
# subsample=0.8,
# colsample_bytree=0.8,
# random_state=42,
# verbose=-1,
# n_jobs=-1,
# ),
# "smote": True,
# "smote_method": "svm",
# },
# {
# "name": "LGBM_BORDERLINE_SMOTE",
# "model": LGBMClassifier(
# n_estimators=500,
# learning_rate=0.05,
# max_depth=-1,
# subsample=0.8,
# colsample_bytree=0.8,
# random_state=42,
# verbose=-1,
# n_jobs=-1,
# ),
# "smote": True,
# "smote_method": "borderline",
# },
# {
# "name": "LGBM_ADASYN_SMOTE",
# "model": LGBMClassifier(
# n_estimators=500,
# learning_rate=0.05,
# max_depth=-1,
# subsample=0.8,
# colsample_bytree=0.8,
# random_state=42,
# verbose=-1,
# n_jobs=-1,
# ),
# "smote": True,
# "smote_method": "adasyn",
# },
# {
# "name": "LGBM_Balanced",
# "model": LGBMClassifier(
# n_estimators=500,
# learning_rate=0.05,
# max_depth=-1,
# subsample=0.8,
# colsample_bytree=0.8,
# class_weight="balanced",
# random_state=42,
# verbose=-1,
# n_jobs=-1,
# ),
# "smote": False,
# },
# {
# "name": "LGBM_DART",
# "model": LGBMClassifier(
# n_estimators=500,
# learning_rate=0.05,
# max_depth=-1,
# subsample=0.8,
# colsample_bytree=0.8,
# boosting_type="dart",
# random_state=42,
# verbose=-1,
# n_jobs=-1,
# ),
# "smote": True,
# "smote_method": "kmeans",
# },
# {
# "name": "LGBM_GOSS",
# "model": LGBMClassifier(
# n_estimators=500,
# learning_rate=0.05,
# max_depth=-1,
# boosting_type="goss",
# random_state=42,
# verbose=-1,
# n_jobs=-1,
# ),
# "smote": True,
# "smote_method": "kmeans",
# },
# {
# "name": "LGBM_RF",
# "model": LGBMClassifier(
# n_estimators=500,
# learning_rate=0.05,
# max_depth=-1,
# boosting_type="rf",
# subsample=0.8,
# colsample_bytree=0.8,
# random_state=42,
# verbose=-1,
# n_jobs=-1,
# ),
# "smote": True,
# "smote_method": "kmeans",
# },
# {
# "name": "LGBM_scale_pos_weight",
# "model": LGBMClassifier(
# n_estimators=500,
# learning_rate=0.05,
# max_depth=-1,
# scale_pos_weight=scale_pos,
# random_state=42,
# verbose=-1,
# n_jobs=-1,
# ),
# "smote": False,
# },
# {
# "name": "LGBM_is_unbalance",
# "model": LGBMClassifier(
# n_estimators=500,
# learning_rate=0.05,
# max_depth=-1,
# is_unbalance=True,
# random_state=42,
# verbose=-1,
# n_jobs=-1,
# ),
# "smote": False,
# },
# {
# "name": "LGBM_DART",
# "model": LGBMClassifier(
# n_estimators=500,
# learning_rate=0.05,
# max_depth=-1,
# subsample=0.8,
# colsample_bytree=0.8,
# boosting_type="dart",
# random_state=42,
# verbose=-1,
# n_jobs=-1,
# ),
# "smote": True,
# "smote_method": "kmeans",
# },
# {
# "name": "XGB_scale_pos_weight",
# "model": XGBClassifier(
# n_estimators=500,
# learning_rate=0.05,
# max_depth=6,
# scale_pos_weight=scale_pos,
# random_state=42,
# n_jobs=-1,
# use_label_encoder=False,
# eval_metric="logloss",
# ),
# "smote": False,
# },
# {
# "name": "CatBoost_balanced",
# "model": CatBoostClassifier(
# iterations=500,
# learning_rate=0.05,
# depth=6,
# class_weights=[1, scale_pos],
# random_state=42,
# verbose=0,
# ),
# "smote": False,
# },
# {
# "name": "RandomForest_balanced",
# "model": RandomForestClassifier(
# n_estimators=500,
# max_depth=None,
# class_weight="balanced",
# random_state=42,
# n_jobs=-1,
# ),
# "smote": False,
# },
# {
# "name": "BalancedRandomForest",
# "model": BalancedRandomForestClassifier(
# n_estimators=500,
# max_depth=None,
# random_state=42,
# n_jobs=-1,
# ),
# "smote": False,
# },
# {
# "name": "LogisticRegression_balanced",
# "model": LogisticRegression(
# max_iter=1000,
# class_weight="balanced",
# solver="liblinear",
# random_state=42,
# ),
# "smote": False,
# },
{
"name": "CatBoost_balanced",
"model": CatBoostClassifier(
iterations=500,
"name": "LGBM_FOCAL_LOSS",
"model": LGBMFocalWrapper(
n_estimators=500,
learning_rate=0.05,
depth=6,
class_weights=[1, scale_pos],
max_depth=-1,
subsample=0.8,
colsample_bytree=0.8,
random_state=42,
verbose=0,
),
"smote": False,
"smote": True,
"smote_method": "kmeans",
},
{
"name": "LGBM_SMOTE",
"model": LGBMClassifier(
n_estimators=500,
learning_rate=0.05,
max_depth=-1,
subsample=0.8,
colsample_bytree=0.8,
random_state=42,
verbose=-1,
n_jobs=-1,
),
"smote": True,
"smote_method": "smote",
},
{
"name": "LGBM_KMEANS_SMOTE",
@@ -302,8 +70,212 @@ models = [
),
"smote": True,
"smote_method": "kmeans",
}
},
{
"name": "LGBM_SVM_SMOTE",
"model": LGBMClassifier(
n_estimators=500,
learning_rate=0.05,
max_depth=-1,
subsample=0.8,
colsample_bytree=0.8,
random_state=42,
verbose=-1,
n_jobs=-1,
),
"smote": True,
"smote_method": "svm",
},
{
"name": "LGBM_BORDERLINE_SMOTE",
"model": LGBMClassifier(
n_estimators=500,
learning_rate=0.05,
max_depth=-1,
subsample=0.8,
colsample_bytree=0.8,
random_state=42,
verbose=-1,
n_jobs=-1,
),
"smote": True,
"smote_method": "borderline",
},
{
"name": "LGBM_ADASYN_SMOTE",
"model": LGBMClassifier(
n_estimators=500,
learning_rate=0.05,
max_depth=-1,
subsample=0.8,
colsample_bytree=0.8,
random_state=42,
verbose=-1,
n_jobs=-1,
),
"smote": True,
"smote_method": "adasyn",
},
{
"name": "LGBM_Balanced",
"model": LGBMClassifier(
n_estimators=500,
learning_rate=0.05,
max_depth=-1,
subsample=0.8,
colsample_bytree=0.8,
class_weight="balanced",
random_state=42,
verbose=-1,
n_jobs=-1,
),
"smote": False,
},
{
"name": "LGBM_DART",
"model": LGBMClassifier(
n_estimators=500,
learning_rate=0.05,
max_depth=-1,
subsample=0.8,
colsample_bytree=0.8,
boosting_type="dart",
random_state=42,
verbose=-1,
n_jobs=-1,
),
"smote": True,
"smote_method": "kmeans",
},
{
"name": "LGBM_GOSS",
"model": LGBMClassifier(
n_estimators=500,
learning_rate=0.05,
max_depth=-1,
boosting_type="goss",
random_state=42,
verbose=-1,
n_jobs=-1,
),
"smote": True,
"smote_method": "kmeans",
},
{
"name": "LGBM_RF",
"model": LGBMClassifier(
n_estimators=500,
learning_rate=0.05,
max_depth=-1,
boosting_type="rf",
subsample=0.8,
colsample_bytree=0.8,
random_state=42,
verbose=-1,
n_jobs=-1,
),
"smote": True,
"smote_method": "kmeans",
},
{
"name": "LGBM_scale_pos_weight",
"model": LGBMClassifier(
n_estimators=500,
learning_rate=0.05,
max_depth=-1,
scale_pos_weight=scale_pos,
random_state=42,
verbose=-1,
n_jobs=-1,
),
"smote": False,
},
{
"name": "LGBM_is_unbalance",
"model": LGBMClassifier(
n_estimators=500,
learning_rate=0.05,
max_depth=-1,
is_unbalance=True,
random_state=42,
verbose=-1,
n_jobs=-1,
),
"smote": False,
},
{
"name": "LGBM_DART",
"model": LGBMClassifier(
n_estimators=500,
learning_rate=0.05,
max_depth=-1,
subsample=0.8,
colsample_bytree=0.8,
boosting_type="dart",
random_state=42,
verbose=-1,
n_jobs=-1,
),
"smote": True,
"smote_method": "kmeans",
},
{
"name": "XGB_scale_pos_weight",
"model": XGBClassifier(
n_estimators=500,
learning_rate=0.05,
max_depth=6,
scale_pos_weight=scale_pos,
random_state=42,
n_jobs=-1,
use_label_encoder=False,
eval_metric="logloss",
),
"smote": False,
},
{
"name": "CatBoost_balanced",
"model": CatBoostClassifier(
iterations=500,
learning_rate=0.05,
depth=6,
class_weights=[1, scale_pos],
random_state=42,
verbose=0,
),
"smote": False,
},
{
"name": "RandomForest_balanced",
"model": RandomForestClassifier(
n_estimators=500,
max_depth=None,
class_weight="balanced",
random_state=42,
n_jobs=-1,
),
"smote": False,
},
{
"name": "BalancedRandomForest",
"model": BalancedRandomForestClassifier(
n_estimators=500,
max_depth=None,
random_state=42,
n_jobs=-1,
),
"smote": False,
},
{
"name": "LogisticRegression_balanced",
"model": LogisticRegression(
max_iter=1000,
class_weight="balanced",
solver="liblinear",
random_state=42,
),
"smote": False,
},
]
@@ -336,7 +308,7 @@ for m in models:
)
results_df = pandas.DataFrame(results_to_save)
csv_file = "lgbm_vs_cat_kmeans_smote_k10_results.csv"
csv_file = "lightgbm_results.csv"
try:
results_df.to_csv(csv_file, mode="a", index=False, header=False)

7
train.py
View File

@@ -42,13 +42,8 @@ def train_model_with_kfold(
if smote:
if smote_method.lower() == "kmeans":
from collections import Counter
minority = Counter(y_train)[1]
k_neighbors = min(10, max(2, minority // 10))
sampler = KMeansSMOTE(
k_neighbors=k_neighbors,
k_neighbors=15,
cluster_balance_threshold=0.1,
random_state=random_state,
)

62
utils.py
View File

@@ -40,18 +40,62 @@ 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