Tabular Imputation on 20 real-world datasets MCAR 2026 (test)
0.118NRMSE (5% Missing Data)Schema-1
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| Schema-12026.05 | 0.118 | 0.142 | 0.179 | |
| Gemini 3.0 Flash2026.05 | 0.15 | 0.172 | 0.185 | |
| Claude 4.5 Sonnet2026.05 | 0.153 | 0.175 | 0.188 | |
| MICE2026.05 | 0.174 | 0.212 | 0.292 | |
| missForest2026.05 | 0.192 | 0.218 | 0.242 | |
| kNN2026.05 | 0.203 | 0.228 | 0.256 | |
| MiMo-V22026.05 | 0.207 | 0.236 | 0.249 | |
| Mistral D22026.05 | 0.21 | 0.229 | 0.236 | |
| TabPFN2026.05 | 0.219 | 0.276 | 0.437 | |
| GPT-4.1 Nano2026.05 | 0.221 | 0.234 | 0.252 | |
| SoftImpute2026.05 | 0.273 | 0.294 | 0.32 | |
| SAEI2026.05 | 0.295 | 0.313 | 0.32 |