| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| Gliomas | LLM-Forest | Accuracy84.41 | 30 | 4d ago | |
| NPHA | LLM-Forest | Accuracy66.35 | 30 | 4d ago | |
| Cancer | LLM-Forest | Accuracy73.51 | 28 | 4d ago | |
| Diabetes (1/3 omitted) | LLM-Forest | Accuracy63.21 | 16 | 4d ago | |
| Housing | Remasker | MAE0.0948 | 14 | 4d ago | |
| Wine | LLM-Forest | MAE0.0768 | 14 | 4d ago | |
| Yacht | LLM-Forest | MAE0.1478 | 14 | 4d ago | |
| Concrete | LLM-Forest | MAE0.1036 | 14 | 4d ago | |
| Diabetes | LLM-Forest | Accuracy63.18 | 14 | 4d ago | |
| Credit-g | LLM-Forest | Accuracy54.46 | 13 | 4d ago | |
| eICU MNAR 50% missingness | NRMSE0.148 | 8 | 4d ago | ||
| eICU MNAR 30% missingness | MissForest | NRMSE0.145 | 8 | 4d ago | |
| eICU MNAR 10% missingness | MissForest | NRMSE0.125 | 8 | 4d ago | |
| Restaurant 30% Missing Rate | LLMDR | Accuracy (%)61.5385 | 5 | 2d ago | |
| Restaurant 20% Missing Rate | LLMDR | Accuracy65.3846 | 5 | 2d ago | |
| Restaurant 10% Missing Rate | LLMDR | Accuracy61.5385 | 5 | 2d ago | |
| Buy | GPT3-175B | Accuracy98.5 | 5 | 4d ago | |
| Restaurant | GPT3-175B | Accuracy88.4 | 5 | 4d ago | |
| Heart Disease | MI (dev)0.32 | 4 | 4d ago | ||
| Diabetes | MI (dev)0.3 | 4 | 4d ago | ||
| Adult | GAIN | MI0.1 | 4 | 4d ago | |
| Heart Disease | GAIN | RMSE0.13 | 4 | 4d ago | |
| Diabetes | RMSE0.16 | 4 | 4d ago | ||
| Adult | RMSE0.13 | 4 | 4d ago | ||
| Concrete | MissForest | NRMSE0.158 | 2 | 4d ago |
