Binary Classification on CreditCard 0.2%
78.7PR AUCROS
Evaluation results
| Method | Links | ||
|---|---|---|---|
| ROSStrategy=Random Over-Sampling, Classifier=Random Forest, Tree Depth Tuning=PR AUC2024.02 | 78.7 | 0.3 | |
| ROSModel=Random Forest, Rebalancing Strategy=Random Over-Sampling, Hyperparameter Tuning=Tree depth tuned on PR AUC2024.02 | 78.7 | — | |
| BS1Strategy=Borderline-SMOTE1, Classifier=Random Forest, Tree Depth Tuning=PR AUC2024.02 | 78.6 | 0.3 | |
| BS1Model=Random Forest, Rebalancing Strategy=Borderline-SMOTE1, Hyperparameter Tuning=Tree depth tuned on PR AUC2024.02 | 78.6 | — | |
| BS2Strategy=Borderline-SMOTE2, Classifier=Random Forest, Tree Depth Tuning=PR AUC2024.02 | 78.4 | 0.3 | |
| BS2Model=Random Forest, Rebalancing Strategy=Borderline-SMOTE2, Hyperparameter Tuning=Tree depth tuned on PR AUC2024.02 | 78.4 | — | |
| CWStrategy=Class Weighting, Classifier=Random Forest, Tree Depth Tuning=PR AUC2024.02 | 78.3 | 0 | |
| CWModel=Random Forest, Rebalancing Strategy=Class Weights, Hyperparameter Tuning=Tree depth tuned on PR AUC2024.02 | 78.3 | — | |
| NoneStrategy=None, Classifier=Random Forest, Tree Depth Tuning=PR AUC2024.02 | 77.6 | 0 | |
| NoneModel=Random Forest, Rebalancing Strategy=None, Hyperparameter Tuning=Tree depth tuned on PR AUC2024.02 | 77.6 | — | |
| SMOTEStrategy=SMOTE, Classifier=Random Forest, Tree Depth Tuning=PR AUC2024.02 | 77.3 | 0.2 | |
| SMOTEModel=Random Forest, Rebalancing Strategy=SMOTE, Hyperparameter Tuning=Tree depth tuned on PR AUC2024.02 | 77.3 | — | |
| ROSStrategy=ROS, Base Model=LightGBM, Max Depth=tuned on PR AUC2024.02 | 77.2 | 0.006 | |
| SMOTE K-tunedStrategy=SMOTE K-tuned, Classifier=Random Forest, Tree Depth Tuning=PR AUC2024.02 | 77.1 | 0.6 | |
| SMOTE K-tunedModel=Random Forest, Rebalancing Strategy=K-tuned SMOTE, Hyperparameter Tuning=Tree depth tuned on PR AUC2024.02 | 77.1 | — | |
| Forest DiffStrategy=Forest Diff, Base Model=LightGBM, Max Depth=tuned on PR AUC2024.02 | 77 | 0.005 | |
| CWStrategy=CW, Base Model=LightGBM, Max Depth=tuned on PR AUC2024.02 | 76.7 | 0 | |
| CT GANStrategy=CT GAN, Classifier=Random Forest, Tree Depth Tuning=PR AUC2024.02 | 75.7 | 1.2 | |
| CT GANModel=Random Forest, Rebalancing Strategy=Conditional Tabular GAN, Hyperparameter Tuning=Tree depth tuned on PR AUC2024.02 | 75.7 | — | |
| CT GANStrategy=CT GAN, Base Model=LightGBM, Max Depth=tuned on PR AUC2024.02 | 75.5 | 0.013 | |
| MGS (d + 1)Strategy=MGS (d + 1), Base Model=LightGBM, Max Depth=tuned on PR AUC2024.02 | 75.4 | 0.001 | |
| Forest DiffStrategy=Forest Diffusion, Classifier=Random Forest, Tree Depth Tuning=PR AUC2024.02 | 75.2 | 0 | |
| Forest DiffModel=Random Forest, Rebalancing Strategy=Forest Diffusion, Hyperparameter Tuning=Tree depth tuned on PR AUC2024.02 | 75.2 | — | |
| RUSStrategy=Random Under-Sampling, Classifier=Random Forest, Tree Depth Tuning=PR AUC2024.02 | 75.1 | 0.8 | |
| RUSModel=Random Forest, Rebalancing Strategy=Random Under-Sampling, Hyperparameter Tuning=Tree depth tuned on PR AUC2024.02 | 75.1 | — | |
| SMOTE K-tunedStrategy=SMOTE K-tuned, Base Model=LightGBM, Max Depth=tuned on PR AUC2024.02 | 74.9 | 0.011 | |
| MGS (d + 1)Strategy=Multivariate Gaussian SMOTE, Classifier=Random Forest, Tree Depth Tuning=PR AUC2024.02 | 74.7 | 1 | |
| MGS (d + 1)Model=Random Forest, Rebalancing Strategy=Multivariate Gaussian SMOTE, Hyperparameter Tuning=Tree depth tuned on PR AUC2024.02 | 74.7 | — | |
| SMOTEStrategy=SMOTE, Base Model=LightGBM, Max Depth=tuned on PR AUC2024.02 | 74.2 | 0.007 | |
| BS2Strategy=BS2, Base Model=LightGBM, Max Depth=tuned on PR AUC2024.02 | 73.4 | 0.012 | |
| BS1Strategy=BS1, Base Model=LightGBM, Max Depth=tuned on PR AUC2024.02 | 73 | 0.006 | |
| RUSStrategy=RUS, Base Model=LightGBM, Max Depth=tuned on PR AUC2024.02 | 72.7 | 0.015 | |
| NM1Strategy=NearMiss-1, Classifier=Random Forest, Tree Depth Tuning=PR AUC2024.02 | 58.6 | 0 | |
| NM1Model=Random Forest, Rebalancing Strategy=NearMiss-1, Hyperparameter Tuning=Tree depth tuned on PR AUC2024.02 | 58.6 | — | |
| NoneStrategy=None, Base Model=LightGBM, Max Depth=tuned on PR AUC2024.02 | 43.1 | 0.03 | |
| NM1Strategy=NM1, Base Model=LightGBM, Max Depth=tuned on PR AUC2024.02 | 30.6 | 0 |