| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| 52 Tabular Datasets (test) | TabSieve | NMAE0.139 | 85 | 4d ago | |
| TALENT 100 regression tasks | GenRe2-ReMax | RMSE (Mean)0.5151 | 8 | 4d ago | |
| FB (Facebook) (test) | CTabGAN+ | MLE0.509 | 6 | 4d ago | |
| CA (California Housing) (test) | CTabGAN+ | MLE Loss0.525 | 6 | 4d ago | |
| AD (Abalone) (test) | CTabGAN+ | MLE0.772 | 6 | 4d ago | |
| California Housing Kaggle original (train test) | Hierarchical MCTS | Median Percentile Score24.78 | 5 | 4d ago | |
| Calorie Expenditure Prediction (Kaggle) original (train test) | Hierarchical MCTS | Median Percentile16.81 | 5 | 4d ago | |
| BPM Prediction (Kaggle) original (train test) | MCTS-Shaped | Median Leaderboard Percentile5.03 | 5 | 4d ago | |
| KI (King) (test) | MLE0.907 | 5 | 4d ago | ||
| IN Insurance (test) | TVAE | MLE0.784 | 5 | 4d ago | |
| HO (House) (test) | TVAE | MLE0.493 | 5 | 4d ago | |
| wind (test) | - | - | 0 | 4d ago | |
| quake (test) | - | - | 0 | 4d ago | |
| pol (test) | - | - | 0 | 4d ago | |
| house 8L (test) | - | - | 0 | 4d ago | |
| elevators (test) | - | - | 0 | 4d ago |
