Downstream prediction on Superconductivity MCAR (test)
0.2768RMSEMissForest
Evaluation results
| Method | Links | |
|---|---|---|
| MissForestDownstream model=linear regression, Evaluation=Average across missing rates2026.07 | 0.2768 | |
| ProposalDownstream model=linear regression, Evaluation=Average across missing rates2026.07 | 0.2815 | |
| KNNDownstream model=linear regression, Evaluation=Average across missing rates2026.07 | 0.3014 | |
| VAEDownstream model=linear regression, Evaluation=Average across missing rates2026.07 | 0.3399 | |
| GAINDownstream model=linear regression, Evaluation=Average across missing rates2026.07 | 0.3487 | |
| MICEDownstream model=linear regression, Evaluation=Average across missing rates2026.07 | 0.5287 | |
| PCADownstream model=linear regression, Evaluation=Average across missing rates2026.07 | 1.074 | |
| MeanDownstream model=linear regression, Evaluation=Average across missing rates2026.07 | 3.5033 |