Binary Classification on Synthetic 50% MCAR (test)
74.2AUCAV-LR
Evaluation results
| Method | Links | ||
|---|---|---|---|
| AV-LRhidden units=128, epochs=150, batch size=256, learning rate=10-32026.03 | 74.2 | 73.75 | |
| IDLGLMhidden units=128, epochs=150, batch size=256, learning rate=10-32026.03 | 73.8 | 72.9 | |
| SAEMmax iterations=120, convergence threshold=10-42026.03 | 73.05 | 71.89 | |
| MIWAEhidden units=128, epochs=150, batch size=256, learning rate=10-32026.03 | 72.8 | 72 | |
| MICEimputation=single-imputation2026.03 | 72.5 | 71.23 | |
| MissForest2026.03 | 71.9 | 71.55 | |
| Mean2026.03 | 71.2 | 70.12 |