Downstream prediction on Superconductivity MAR (test)
0.2703RMSEMissForest
Evaluation Results
| Method | Links | |
|---|---|---|
| MissForestDownstream model=linear regression, Evaluation=Average across missing rates2026.07 | 0.2703 | |
| ProposalDownstream model=linear regression, Evaluation=Average across missing rates2026.07 | 0.2809 | |
| KNNDownstream model=linear regression, Evaluation=Average across missing rates2026.07 | 0.2985 | |
| VAEDownstream model=linear regression, Evaluation=Average across missing rates2026.07 | 0.3214 | |
| MICEDownstream model=linear regression, Evaluation=Average across missing rates2026.07 | 0.3405 | |
| GAINDownstream model=linear regression, Evaluation=Average across missing rates2026.07 | 0.359 | |
| PCADownstream model=linear regression, Evaluation=Average across missing rates2026.07 | 0.3824 | |
| MeanDownstream model=linear regression, Evaluation=Average across missing rates2026.07 | 1.4436 |