| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| superconductivity | MissForest | Wasserstein Distance0.3109 | 216 | 18d ago | |
| wine (test) | CAGI | RMSE0.0997 | 205 | 16d ago | |
| powerplant MAR (test) | MissForest | Wasserstein Distance0.2831 | 66 | 18d ago | |
| Energy dataset MNAR | MissForest | RMSE0.2313 | 65 | 18d ago | |
| Energy dataset MAR | MissForest | RMSE0.1217 | 65 | 18d ago | |
| Energy dataset MCAR | MissForest | RMSE0.132 | 65 | 18d ago | |
| energy MNAR | MissForest | Wasserstein Distance0.3714 | 65 | 18d ago | |
| energy MAR | MissForest | Wasserstein Distance0.3002 | 65 | 18d ago | |
| energy MCAR | MissForest | Wasserstein distance0.3024 | 65 | 18d ago | |
| powerplant MCAR (test) | MissForest | Wasserstein Distance0.2841 | 64 | 18d ago | |
| finance MNAR | MissForest | Wasserstein Distance0.174 | 63 | 18d ago | |
| finance MCAR | MissForest | Wasserstein Distance0.1514 | 63 | 18d ago | |
| finance MNAR | MissForest | RMSE0.027 | 63 | 18d ago | |
| finance (MAR) | MissForest | RMSE0.0197 | 63 | 18d ago | |
| finance MCAR | MissForest | RMSE0.018 | 63 | 18d ago | |
| powerplant MNAR (test) | MissForest | Wasserstein Distance0.3036 | 63 | 18d ago | |
| Gliomas | LLM-Forest | Accuracy84.41 | 30 | 4mo ago | |
| NPHA | LLM-Forest | Accuracy66.35 | 30 | 4mo ago | |
| Cancer | LLM-Forest | Accuracy73.51 | 28 | 4mo ago | |
| MIMIC-IV-ED under MCAR | CACTI | MAE (Output)4.55 | 20 | 1mo ago | |
| california (test) | MIWAE | RMSE0.141 | 16 | 16d ago | |
| blood (test) | MissForest | RMSE0.127 | 16 | 16d ago | |
| yeast (test) | CAGI | RMSE0.1173 | 16 | 16d ago | |
| breast (test) | CAGI | RMSE0.0884 | 16 | 16d ago | |
| spam (test) | CAGI | RMSE0.0532 | 16 | 16d ago |
