| model_name,accuracy,precision,recall,f1,roc_auc,best_cv_f1,best_params |
| AdaBoost,0.6511389813155875,0.6484881209503239,0.975233455136013,0.7789849197340685,0.6811138646989292,0.775172466662594,"{""model__n_estimators"": 200, ""model__learning_rate"": 0.03}" |
| Bagging,0.6511389813155875,0.659976730657359,0.9212342671538774,0.7690221996271819,0.6480291977780852,0.7658860957610526,"{""model__n_estimators"": 150, ""model__max_samples"": 1.0, ""model__max_features"": 0.6}" |
| Gradient_Boosting,0.6647043767596621,0.684244167465644,0.8692651238327244,0.7657367668097281,0.700410676347899,0.7674745413885123,"{""model__subsample"": 1.0, ""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__subsample"": 1.0, ""model__n_estimators"": 50, ""model__max_depth"": 3, ""model__learning_rate"": 0.05, ""model__colsample_bytree"": 1.0}" |
| Random_Forest,0.6649603276170976,0.687094682230869,0.8603329273244011,0.7640165855417342,0.700493059046745,0.7655985568463354,"{""model__n_estimators"": 300, ""model__min_samples_leaf"": 2, ""model__max_depth"": 8, ""model__class_weight"": null}" |
| Decision_Tree,0.6403890453033018,0.687057991513437,0.7888753552578157,0.7344547344547344,0.6686565040718985,0.7440265771431916,"{""model__min_samples_split"": 2, ""model__min_samples_leaf"": 1, ""model__max_depth"": 3, ""model__class_weight"": null}" |
|
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