Downstream prediction on Superconductivity MNAR (test)
0.2803RMSEProposal
Evaluation results
| Method | Links | |
|---|---|---|
| ProposalDownstream model=linear regression, Evaluation=Average across missing rates2026.07 | 0.2803 | |
| MissForestDownstream model=linear regression, Evaluation=Average across missing rates2026.07 | 0.2816 | |
| KNNDownstream model=linear regression, Evaluation=Average across missing rates2026.07 | 0.3048 | |
| VAEDownstream model=linear regression, Evaluation=Average across missing rates2026.07 | 0.4876 | |
| MICEDownstream model=linear regression, Evaluation=Average across missing rates2026.07 | 0.6668 | |
| PCADownstream model=linear regression, Evaluation=Average across missing rates2026.07 | 0.6772 | |
| GAINDownstream model=linear regression, Evaluation=Average across missing rates2026.07 | 0.7596 | |
| MeanDownstream model=linear regression, Evaluation=Average across missing rates2026.07 | 3.8271 |