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training data without x features

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Saeed Khosravi
2025-12-06 22:05:59 +01:00
parent 743db06b29
commit 85c7caa31f
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comparison_catboost_lightgbm_lightgbm_no_x.csv Normal file
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model,accuracy,f1_macro,f2_macro,recall_macro,precision_macro,f1_class0,f2_class0,recall_class0,precision_class0,f1_class1,f2_class1,recall_class1,precision_class1,TP,TN,FP,FN
catboost,0.9814814814814815,0.8195693865042805,0.8013174756506312,0.7903526990720451,0.8559205703525894,0.9904901243599122,0.9921698350221925,0.9932928107315029,0.9877032096706961,0.6486486486486487,0.6104651162790697,0.5874125874125874,0.7241379310344828,84,4739,32,59
lightgbm,0.9849409849409849,0.8469442386692707,0.8185917013944679,0.8023094072140393,0.9084632979829487,0.9922755741127348,0.9946427824048885,0.9962272060364703,0.9883551673944687,0.7016129032258065,0.6425406203840472,0.6083916083916084,0.8285714285714286,87,4753,18,56
lightgbm_no_x,0.9881969881969882,0.8781216645228386,0.8437523569608822,0.8243364265162629,0.9552017740731065,0.9939482470784641,0.9965686069381093,0.9983232026828757,0.9896114689382921,0.7622950819672131,0.6909361069836553,0.6503496503496503,0.9207920792079208,93,4763,8,50
1 model accuracy f1_macro f2_macro recall_macro precision_macro f1_class0 f2_class0 recall_class0 precision_class0 f1_class1 f2_class1 recall_class1 precision_class1 TP TN FP FN
2 catboost 0.9814814814814815 0.8195693865042805 0.8013174756506312 0.7903526990720451 0.8559205703525894 0.9904901243599122 0.9921698350221925 0.9932928107315029 0.9877032096706961 0.6486486486486487 0.6104651162790697 0.5874125874125874 0.7241379310344828 84 4739 32 59
3 lightgbm 0.9849409849409849 0.8469442386692707 0.8185917013944679 0.8023094072140393 0.9084632979829487 0.9922755741127348 0.9946427824048885 0.9962272060364703 0.9883551673944687 0.7016129032258065 0.6425406203840472 0.6083916083916084 0.8285714285714286 87 4753 18 56
4 lightgbm_no_x 0.9881969881969882 0.8781216645228386 0.8437523569608822 0.8243364265162629 0.9552017740731065 0.9939482470784641 0.9965686069381093 0.9983232026828757 0.9896114689382921 0.7622950819672131 0.6909361069836553 0.6503496503496503 0.9207920792079208 93 4763 8 50