| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Linear Regression | Concrete 40% MNAR | Time (s)0.0217 | 32 | |
| Linear Regression | Concrete 20% MNAR | Time (s)0.0172 | 32 | |
| Regression | Concrete UCI (test) | RMSE4.72 | 31 | |
| Regression | Concrete | R^20.886 | 25 | |
| Regression | Concrete | MSE0.2749 | 18 | |
| Conformal Prediction | concrete | Conditional Marginal Coverage1.58 | 16 | |
| Linear Regression | Concrete 60 | Time (s)0.0246 | 16 | |
| Linear Regression | Concrete 60% MNAR | Time (s)0.0246 | 16 | |
| Regression | Concrete UCI (test pool) | MACE0.038 | 14 | |
| Data Imputation | Concrete | MAE0.1036 | 14 | |
| Model Compression | concrete | Performance92.1 | 13 | |
| Model Compression | concrete | Accuracy / R292 | 13 | |
| RF compression | concrete | Performance90.7 | 13 | |
| Regression | Concrete (UCI) | Log-Likelihood-2.855 | 13 | |
| Regression | concrete | NCIW0.405 | 12 | |
| Bayesian neural network regression | Concrete (test) | RMSE4.257 | 12 | |
| Regression | Concrete 10% outlier contamination | RMSE7.55 | 11 | |
| Regression | Concrete no contamination | RMSE5.14 | 11 | |
| Regression | concrete | Interval Score Loss26.754 | 11 | |
| Regression | concrete | Quantile Loss0.334 | 11 | |
| Regression Explanation | Concrete | WR20.81 | 10 | |
| Regression | Concrete TabArena v0.1 (test) | RMSE4 | 10 | |
| Feature Selection | CONCRETE | Fidelity0.851 | 10 | |
| Regression | Concrete dataset | RMSE2.65 | 9 | |
| Regression | Concrete | Normalized AUC of RMSE1 | 9 |