Tabular Classification on CH (Churn) (test)
0.702MLECTabGAN+
Evaluation results
| Method | Links | |
|---|---|---|
| CTabGAN+evaluation_model=CatBoost, metric_type=F12023.12 | 0.702 | |
| TVAEevaluation_model=CatBoost, metric_type=F12023.12 | 0.732 | |
| Realdescription=Baseline performance using real training data2023.12 | 0.74 | |
| TabMTevaluation_model=CatBoost, metric_type=F12023.12 | 0.741 | |
| TabDDPMevaluation_model=CatBoost, metric_type=F12023.12 | 0.755 |