Imbalanced Classification on California 1%
40.1PR AUCMGS (d + 1)
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| MGS (d + 1)Strategy=MGS (d + 1), Base Model=LightGBM, Max Depth=tuned on PR AUC2024.02 | 40.1 | 2.3 | |
| NoneStrategy=None, Base Model=LightGBM, Max Depth=tuned on PR AUC2024.02 | 35.8 | 3.1 | |
| SMOTE K-tunedStrategy=SMOTE K-tuned, Base Model=LightGBM, Max Depth=tuned on PR AUC2024.02 | 35.2 | 1.5 | |
| Forest DiffStrategy=Forest Diff, Base Model=LightGBM, Max Depth=tuned on PR AUC2024.02 | 35.2 | 1.2 | |
| CWStrategy=CW, Base Model=LightGBM, Max Depth=tuned on PR AUC2024.02 | 34.2 | 2.4 | |
| SMOTEStrategy=SMOTE, Base Model=LightGBM, Max Depth=tuned on PR AUC2024.02 | 34.2 | 2.2 | |
| ROSStrategy=ROS, Base Model=LightGBM, Max Depth=tuned on PR AUC2024.02 | 33 | 2.8 | |
| BS1Strategy=BS1, Base Model=LightGBM, Max Depth=tuned on PR AUC2024.02 | 30.8 | 1.7 | |
| BS2Strategy=BS2, Base Model=LightGBM, Max Depth=tuned on PR AUC2024.02 | 29.2 | 2.1 | |
| RUSStrategy=RUS, Base Model=LightGBM, Max Depth=tuned on PR AUC2024.02 | 22.9 | 3.1 | |
| CT GANStrategy=CT GAN, Base Model=LightGBM, Max Depth=tuned on PR AUC2024.02 | 20.9 | 3.3 | |
| NM1Strategy=NM1, Base Model=LightGBM, Max Depth=tuned on PR AUC2024.02 | 3.7 | 0.9 |