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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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results/lgbm_vs_cat_kmeans_smote_k10_results.csv Normal file
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model,stage,accuracy,f1_macro,f2_macro,recall_macro,precision_macro,f1_class0,f1_class1,f2_class0,f2_class1,recall_class0,recall_class1,precision_class0,precision_class1,TP,TN,FP,FN
CatBoost_balanced,train,0.9843784049402589,0.8696686267343388,0.8824472728294012,0.8916952848998795,0.8508242781484853,0.9919396338322237,0.7473976196364541,0.9908276010500254,0.7740669446087769,0.9900881006639566,0.7933024691358025,0.9938004847319636,0.7078480715650071,789,26898,140,19
CatBoost_balanced,test,0.9802604802604803,0.8348421298822796,0.8461546793313885,0.8541662696976049,0.8176680164072361,0.9898162729658793,0.6798679867986799,0.988757446094471,0.703551912568306,0.9880528191154894,0.7202797202797203,0.991586032814472,0.64375,103,4714,57,40
LGBM_KMEANS_SMOTE,train,0.9883286128479746,0.8784419356817057,0.8436008106620193,0.8240767336379762,0.9582821430574249,0.9940169232360254,0.7628669481273861,0.9966698960611392,0.6905317252628993,0.9984466771524954,0.6497067901234568,0.9896275269971563,0.9269367591176938,775,27036,2,33
LGBM_KMEANS_SMOTE,test,0.9865689865689866,0.8543196878009516,0.8121616449258658,0.7895809912158687,0.9600745182511498,0.9931221342225928,0.7155172413793104,0.9964866786565728,0.6278366111951589,0.9987424020121568,0.5804195804195804,0.9875647668393782,0.9325842696629213,83,4765,6,60
CatBoost_balanced,train,0.9843784049402589,0.8696686267343388,0.8824472728294012,0.8916952848998795,0.8508242781484853,0.9919396338322237,0.7473976196364541,0.9908276010500254,0.7740669446087769,0.9900881006639566,0.7933024691358025,0.9938004847319636,0.7078480715650071,789,26898,140,19
CatBoost_balanced,test,0.9802604802604803,0.8348421298822796,0.8461546793313885,0.8541662696976049,0.8176680164072361,0.9898162729658793,0.6798679867986799,0.988757446094471,0.703551912568306,0.9880528191154894,0.7202797202797203,0.991586032814472,0.64375,103,4714,57,40
LGBM_KMEANS_SMOTE,train,0.9883286128479746,0.8784419356817057,0.8436008106620193,0.8240767336379762,0.9582821430574249,0.9940169232360254,0.7628669481273861,0.9966698960611392,0.6905317252628993,0.9984466771524954,0.6497067901234568,0.9896275269971563,0.9269367591176938,775,27036,2,33
LGBM_KMEANS_SMOTE,test,0.9865689865689866,0.8543196878009516,0.8121616449258658,0.7895809912158687,0.9600745182511498,0.9931221342225928,0.7155172413793104,0.9964866786565728,0.6278366111951589,0.9987424020121568,0.5804195804195804,0.9875647668393782,0.9325842696629213,83,4765,6,60
1 model stage accuracy f1_macro f2_macro recall_macro precision_macro f1_class0 f1_class1 f2_class0 f2_class1 recall_class0 recall_class1 precision_class0 precision_class1 TP TN FP FN
2 CatBoost_balanced train 0.9843784049402589 0.8696686267343388 0.8824472728294012 0.8916952848998795 0.8508242781484853 0.9919396338322237 0.7473976196364541 0.9908276010500254 0.7740669446087769 0.9900881006639566 0.7933024691358025 0.9938004847319636 0.7078480715650071 789 26898 140 19
3 CatBoost_balanced test 0.9802604802604803 0.8348421298822796 0.8461546793313885 0.8541662696976049 0.8176680164072361 0.9898162729658793 0.6798679867986799 0.988757446094471 0.703551912568306 0.9880528191154894 0.7202797202797203 0.991586032814472 0.64375 103 4714 57 40
4 LGBM_KMEANS_SMOTE train 0.9883286128479746 0.8784419356817057 0.8436008106620193 0.8240767336379762 0.9582821430574249 0.9940169232360254 0.7628669481273861 0.9966698960611392 0.6905317252628993 0.9984466771524954 0.6497067901234568 0.9896275269971563 0.9269367591176938 775 27036 2 33
5 LGBM_KMEANS_SMOTE test 0.9865689865689866 0.8543196878009516 0.8121616449258658 0.7895809912158687 0.9600745182511498 0.9931221342225928 0.7155172413793104 0.9964866786565728 0.6278366111951589 0.9987424020121568 0.5804195804195804 0.9875647668393782 0.9325842696629213 83 4765 6 60
6 CatBoost_balanced train 0.9843784049402589 0.8696686267343388 0.8824472728294012 0.8916952848998795 0.8508242781484853 0.9919396338322237 0.7473976196364541 0.9908276010500254 0.7740669446087769 0.9900881006639566 0.7933024691358025 0.9938004847319636 0.7078480715650071 789 26898 140 19
7 CatBoost_balanced test 0.9802604802604803 0.8348421298822796 0.8461546793313885 0.8541662696976049 0.8176680164072361 0.9898162729658793 0.6798679867986799 0.988757446094471 0.703551912568306 0.9880528191154894 0.7202797202797203 0.991586032814472 0.64375 103 4714 57 40
8 LGBM_KMEANS_SMOTE train 0.9883286128479746 0.8784419356817057 0.8436008106620193 0.8240767336379762 0.9582821430574249 0.9940169232360254 0.7628669481273861 0.9966698960611392 0.6905317252628993 0.9984466771524954 0.6497067901234568 0.9896275269971563 0.9269367591176938 775 27036 2 33
9 LGBM_KMEANS_SMOTE test 0.9865689865689866 0.8543196878009516 0.8121616449258658 0.7895809912158687 0.9600745182511498 0.9931221342225928 0.7155172413793104 0.9964866786565728 0.6278366111951589 0.9987424020121568 0.5804195804195804 0.9875647668393782 0.9325842696629213 83 4765 6 60