Binary Classification on California 1%
32.2PR AUCMGS (d + 1)
Evaluation results
| Method | Links | ||
|---|---|---|---|
| MGS (d + 1)Strategy=MGS2024.02 | 32.2 | 0.024 | |
| MGS (d + 1)Model=Random Forest2024.02 | 32.2 | — | |
| NoneStrategy=None2024.02 | 29.8 | 0.015 | |
| NoneModel=Random Forest2024.02 | 29.8 | — | |
| Forest DiffStrategy=Forest Diff2024.02 | 29.4 | 0.013 | |
| Forest DiffModel=Random Forest2024.02 | 29.4 | — | |
| CWStrategy=CW2024.02 | 28.3 | 0.02 | |
| CWModel=Random Forest2024.02 | 28.3 | — | |
| ROSStrategy=ROS2024.02 | 27.7 | 0.017 | |
| ROSModel=Random Forest2024.02 | 27.7 | — | |
| SMOTE K-tunedStrategy=SMOTE K-tuned2024.02 | 25.8 | 0.019 | |
| SMOTE K-tunedModel=Random Forest2024.02 | 25.8 | — | |
| SMOTEStrategy=SMOTE2024.02 | 24.2 | 0.02 | |
| SMOTEModel=Random Forest2024.02 | 24.2 | — | |
| BS1Strategy=BS12024.02 | 23.4 | 0.012 | |
| BS1Model=Random Forest2024.02 | 23.4 | — | |
| BS2Strategy=BS22024.02 | 22.6 | 0.015 | |
| BS2Model=Random Forest2024.02 | 22.6 | — | |
| RUSStrategy=RUS2024.02 | 20.7 | 0.023 | |
| RUSModel=Random Forest2024.02 | 20.7 | — | |
| CT GANStrategy=CT GAN2024.02 | 15.2 | 0.023 | |
| CT GANModel=Random Forest2024.02 | 15.2 | — | |
| NM1Strategy=NM12024.02 | 1.9 | 0.001 | |
| NM1Model=Random Forest2024.02 | 1.9 | — |