model_name,accuracy,precision,recall,f1,roc_auc,best_cv_f1,best_params
AdaBoost,0.6304069618633222,0.6304069618633222,1.0,0.7733124018838304,0.6764444808090487,0.7752141809940855,"{""model__n_estimators"": 100, ""model__learning_rate"": 0.05}"
Gradient_Boosting,0.6647043767596621,0.684244167465644,0.8692651238327244,0.7657367668097281,0.700410676347899,0.7674745413885123,"{""model__n_estimators"": 100, ""model__max_depth"": 2, ""model__learning_rate"": 0.05}"
XGBoost,0.6613770156130023,0.6796973518284993,0.8753552578156719,0.7652173913043478,0.6967336806340487,0.7703872294098518,"{""model__n_estimators"": 50, ""model__max_depth"": 3, ""model__learning_rate"": 0.05}"
Random_Forest,0.6647043767596621,0.687479674796748,0.8583028826634186,0.7634525099313831,0.7002312901299341,0.7656012982489183,"{""model__n_estimators"": 100, ""model__max_depth"": 8, ""model__class_weight"": null}"
Bagging,0.6542103916048119,0.698005698005698,0.7957775071051563,0.7436918990703851,0.6762816835987012,0.7426819826395361,"{""model__n_estimators"": 100, ""model__max_samples"": 0.8}"
Decision_Tree,0.6403890453033018,0.687057991513437,0.7888753552578157,0.7344547344547344,0.6686565040718985,0.7440265771431916,"{""model__min_samples_leaf"": 1, ""model__max_depth"": 3}"