Imbalanced Classification on Abalone 1%
5.3PR AUCSMOTE K-tuned
Evaluation results
| Method | Links | ||
|---|---|---|---|
| SMOTE K-tunedStrategy=SMOTE K-tuned, Base Model=LightGBM, Max Depth=tuned on PR AUC2024.02 | 5.3 | 0.008 | |
| MGS (d + 1)Strategy=MGS (d + 1), Base Model=LightGBM, Max Depth=tuned on PR AUC2024.02 | 5.3 | 0.013 | |
| NoneStrategy=None, Base Model=LightGBM, Max Depth=tuned on PR AUC2024.02 | 5.1 | 0.013 | |
| ROSStrategy=ROS, Base Model=LightGBM, Max Depth=tuned on PR AUC2024.02 | 5.1 | 0.014 | |
| Forest DiffStrategy=Forest Diff, Base Model=LightGBM, Max Depth=tuned on PR AUC2024.02 | 5 | 0.007 | |
| CWStrategy=CW, Base Model=LightGBM, Max Depth=tuned on PR AUC2024.02 | 4.8 | 0.01 | |
| CT GANStrategy=CT GAN, Base Model=LightGBM, Max Depth=tuned on PR AUC2024.02 | 4.8 | 0.013 | |
| SMOTEStrategy=SMOTE, Base Model=LightGBM, Max Depth=tuned on PR AUC2024.02 | 4.6 | 0.007 | |
| BS1Strategy=BS1, Base Model=LightGBM, Max Depth=tuned on PR AUC2024.02 | 4.1 | 0.005 | |
| BS2Strategy=BS2, Base Model=LightGBM, Max Depth=tuned on PR AUC2024.02 | 4 | 0.01 | |
| RUSStrategy=RUS, Base Model=LightGBM, Max Depth=tuned on PR AUC2024.02 | 3.9 | 0.013 | |
| NM1Strategy=NM1, Base Model=LightGBM, Max Depth=tuned on PR AUC2024.02 | 3.1 | 0.009 |