Tabular Classification on GE (German Credit) (test)
0.406MLE LossCTabGAN+
Evaluation Results
| Method | Links | |
|---|---|---|
| CTabGAN+evaluation_model=CatBoost, metric_type=F12023.12 | 0.406 | |
| TVAEevaluation_model=CatBoost, metric_type=F12023.12 | 0.434 | |
| TabDDPMevaluation_model=CatBoost, metric_type=F12023.12 | 0.597 | |
| TabMTevaluation_model=CatBoost, metric_type=F12023.12 | 0.605 | |
| Realdescription=Baseline performance using real training data2023.12 | 0.636 |