| 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 | 27 | |
| Regression | Concrete | R^20.886 | 25 | |
| Regression | Concrete | MSE0.2749 | 18 | |
| 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 | |
| Regression | concrete | NCIW0.405 | 12 | |
| Regression | concrete | Interval Score Loss26.754 | 11 | |
| Regression | concrete | Quantile Loss0.334 | 11 | |
| 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 | |
| Sample generation | concrete | Standardized Energy Distance5.84 | 8 | |
| Regression | Concrete OOD rescaled by 0.1 non-normalized UCI (test) | RMSE17.39 | 8 | |
| Regression | Concrete | Relative Percentage Error0 | 8 | |
| Regression | Concrete | Avg NLL Relative %0 | 8 | |
| Imputation | Concrete 50% MNAR | NRMSE0.233 | 8 | |
| Imputation | Concrete 30% MNAR | NRMSE0.146 | 8 | |
| Imputation | Concrete 10% MNAR | NRMSE0.074 | 8 | |
| Regression | concrete | SMIS26.49 | 7 | |
| Regression | concrete n=1030 (test) | ILR0.73 | 7 |