| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| 75 Tabular Classification Datasets (test) | TabSieve | Accuracy74.33 | 89 | 1mo ago | |
| CARTE Binary | Average Balanced Accuracy0.8481 | 60 | 1mo ago | ||
| TabArena Binary | Avg Balanced Accuracy89.32 | 56 | 1mo ago | ||
| WIDS | TabNet | Clean Accuracy98.4 | 29 | 8d ago | |
| LCLD | TabTr. | Clean Accuracy74.5 | 29 | 8d ago | |
| Travel (test) | Gradient Boosting (GB) | F1 Score0.7018 | 28 | 1mo ago | |
| Adult (test) | TabTrans | AUROC91.4 | 28 | 1mo ago | |
| URL | TabICL | Clean Accuracy97.3 | 20 | 8d ago | |
| TabZilla avg across 98 datasets | TuneTables | Mean Accuracy86 | 20 | 1mo ago | |
| HELOC (test) | TabNet | Accuracy100 | 19 | 8d ago | |
| URL (test) | TabNet | Clean Accuracy99.5 | 18 | 8d ago | |
| 53 classification datasets (unseen) | PRPO | Mean Accuracy75.42 | 18 | 1mo ago | |
| NUM (L) (test) | Macro F10.965 | 18 | 1mo ago | ||
| IO | TabII | Accuracy80.2 | 16 | 1mo ago | |
| BL | TabII | Accuracy82.6 | 16 | 1mo ago | |
| CG | TabII | Accuracy75.2 | 16 | 1mo ago | |
| IC | TabII | Accuracy89.2 | 16 | 1mo ago | |
| DS | TabII | Accuracy69 | 16 | 1mo ago | |
| AD | TabII | Accuracy85.4 | 16 | 1mo ago | |
| DI | TabII | Accuracy74.9 | 16 | 1mo ago | |
| 10 Tabular Datasets Missing rate > 10% MNAR (cross-method intersection) | PFN-Flow | AUC81.72 | 15 | 1mo ago | |
| diabetes 37 (test) | Xgboost | Test Error23.4 | 15 | 1mo ago | |
| Yeast (test) | CART | Accuracy57.32 | 14 | 1mo ago | |
| Heart (test) | VIP | Accuracy84.7 | 14 | 1mo ago | |
| Diabetes (test) | Accuracy62.64 | 14 | 1mo ago |
