| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| 75 Tabular Classification Datasets (test) | TabSieve | Accuracy74.33 | 89 | 4d ago | |
| CARTE Binary | Average Balanced Accuracy0.8481 | 60 | 4d ago | ||
| TabArena Binary | Avg Balanced Accuracy89.32 | 56 | 4d ago | ||
| Travel (test) | Gradient Boosting (GB) | F1 Score0.7018 | 28 | 4d ago | |
| Adult (test) | TabTrans | AUROC91.4 | 28 | 4d ago | |
| TabZilla avg across 98 datasets | TuneTables | Mean Accuracy86 | 20 | 4d ago | |
| NUM (L) (test) | Macro F10.965 | 18 | 4d ago | ||
| IO | TabII | Accuracy80.2 | 16 | 4d ago | |
| BL | TabII | Accuracy82.6 | 16 | 4d ago | |
| CG | TabII | Accuracy75.2 | 16 | 4d ago | |
| IC | TabII | Accuracy89.2 | 16 | 4d ago | |
| DS | TabII | Accuracy69 | 16 | 4d ago | |
| AD | TabII | Accuracy85.4 | 16 | 4d ago | |
| DI | TabII | Accuracy74.9 | 16 | 4d ago | |
| 10 Tabular Datasets Missing rate > 10% MNAR (cross-method intersection) | PFN-Flow | AUC81.72 | 15 | 4d ago | |
| diabetes 37 (test) | Xgboost | Test Error23.4 | 15 | 4d ago | |
| Yeast (test) | CART | Accuracy57.32 | 14 | 4d ago | |
| Heart (test) | VIP | Accuracy84.7 | 14 | 4d ago | |
| Diabetes (test) | Accuracy62.64 | 14 | 4d ago | ||
| Cirrhosis (test) | Ftree | Accuracy76.32 | 14 | 4d ago | |
| ACSIncome state VT | XGB | Average Accuracy77.7 | 14 | 4d ago | |
| Insurance-co (test) | MambaTab-D | AUROC0.783 | 13 | 4d ago | |
| Blastchar (test) | MambaTab-D | AUROC0.853 | 13 | 4d ago | |
| Credit-approval (test) | MambaTab-D | AUROC96.1 | 13 | 4d ago | |
| Credit-g (test) | MambaTab-D | AUROC78.7 | 13 | 4d ago |
