datasets
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Time Series Classification | 10 datasets Avg. | Accuracy75 | 20 | |
| Predicting maximum achievable accuracy of Dimensionality Reduction (DR) techniques | 96 datasets | T&C Score0.9471 | 18 | |
| Image Classification | 13 datasets | CIFAR10 Accuracy98.5 | 15 | |
| Overall Performance Ranking | 37 datasets | Combined Score1.269 | 10 | |
| Tabular Data Augmentation | 14 Datasets | XGBoost Score79.8 | 8 | |
| Image Classification | 14 datasets average | PGD Robust Acc22.02 | 8 | |
| Classification | datasets (test) | Accuracy96.74 | 7 | |
| Forecasting | Datasets (combined) | MAE12.83 | 6 | |
| Gene Expression Generation | Seen datasets | MSE0.01 | 3 | |
| Text-to-Image Generation | datasets (val) | HPS27.45 | 3 | |
| Decision and Abstention Performance | Datasets (held-out) | Coverage100 | 3 | |
| Clustering | 15K–50K datasets | ARI0.778 | 3 |
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