imbalanced datasets
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Positive-Unlabeled Classification | 14 imbalanced datasets SCAR assumption macro-averaged | ROC AUC0.92 | 36 | |
| Imbalanced Classification | 27 imbalanced datasets | Avg Rank (DT)1 | 20 | |
| Positive-Unlabeled Classification | 14 imbalanced datasets SAR - 75% labeled | ROC-AUC0.92 | 12 | |
| Positive-Unlabeled Classification | 14 imbalanced datasets SAR - 50% labeled | ROC-AUC92 | 12 | |
| Positive-Unlabeled Classification | 14 imbalanced datasets SAR - 25% labeled | ROC-AUC0.92 | 12 | |
| Imbalanced Multiclass Classification | 20 imbalanced datasets aggregated | Accuracy Avg Rank1.62 | 9 | |
| Privacy Attack | Eight standard imbalanced datasets (Augmented Data) | Precision100 | 2 | |
| Privacy Attack | Eight standard imbalanced datasets Synthetic Data | Accuracy16 | 1 |
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