| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| MissBench (test) | TabImpute | MCAR Score0.414 | 15 | 5mo ago | |
| 20 Real-world Datasets Overall 2026 (test) | Schema-1 | Mean NRMSE0.163 | 12 | 2mo ago | |
| MAR 2026 (test) | Schema-1 | NRMSE @ 5%0.128 | 12 | 2mo ago | |
| 20 real-world datasets MCAR 2026 (test) | Schema-1 | NRMSE (5% Missing Data)0.118 | 12 | 2mo ago | |
| 20 real-world datasets MNAR 2026 (test) | Schema-1 | NRMSE (5% Missing Rate)0.146 | 12 | 2mo ago | |
| NSDUH 30% MAR (test) | TabSODA | Ordinal MACE0.362 | 7 | 1mo ago | |
| PATH 30% MAR (test) | TabSODA | Ordinal MACE0.455 | 7 | 1mo ago | |
| magic out-of-sample | HyperImpute | MAE0.471 | 6 | 2mo ago | |
| gesture out-of-sample | DiffPuter | MAE0.353 | 6 | 2mo ago | |
| default out-of-sample | PRDIM | MAE0.279 | 6 | 2mo ago | |
| bean out-of-sample | HyperImpute | MAE0.138 | 6 | 2mo ago | |
| adult out-of-sample | PRDIM | MAE0.482 | 6 | 2mo ago | |
| Miss-Bench 42 OpenML datasets small tables v1 | TabImpute | MCAR Score0.904 | 5 | 5mo ago |
