Tabular Classification on glass 5
94.1Balanced AccuracyctdGAN
Evaluation results
| Method | Links | ||
|---|---|---|---|
| ctdGANClassifier=Multilayer Perceptron2025.08 | 94.1 | — | |
| ctdGANClassifier=Random Forest2025.08 | 93.3 | — | |
| ctdGANClassifier=XGBoost2025.08 | 89 | 73.2 | |
| TVAEClassifier=MLP2025.08 | -0.2 | — | |
| TVAEClassifier=XGBoost2025.08 | -2 | -13.5 | |
| CGANClassifier=MLP2025.08 | -16.7 | — | |
| GCOP GANClassifier=MLP2025.08 | -16.7 | — | |
| SB GANClassifier=MLP2025.08 | -16.7 | — | |
| COP GANClassifier=MLP2025.08 | -16.8 | — | |
| CTAB GAN+Classifier=MLP2025.08 | -16.8 | — | |
| ctdGANClassifier=MLP2025.08 | -16.8 | — | |
| CT GANClassifier=MLP2025.08 | -17 | — | |
| ctdGANClassifier=XGBoost2025.08 | -21.2 | -71.4 | |
| COP GANClassifier=XGBoost2025.08 | -28.3 | -93.2 | |
| CT GANClassifier=XGBoost2025.08 | -28.3 | -94.8 | |
| CGANClassifier=XGBoost2025.08 | -29.6 | -99.9 | |
| GCOP GANClassifier=XGBoost2025.08 | -29.6 | -99.9 | |
| SB GANClassifier=XGBoost2025.08 | -29.8 | -99.9 | |
| CTAB GAN+Classifier=XGBoost2025.08 | -30 | -99.9 | |
| CTAB GAN+Classifier=RF2025.08 | -33.8 | — | |
| CGANClassifier=RF2025.08 | -35.2 | — | |
| CT GANClassifier=RF2025.08 | -35.2 | — | |
| GCOP GANClassifier=RF2025.08 | -35.2 | — | |
| SB GANClassifier=RF2025.08 | -35.2 | — | |
| TVAEClassifier=RF2025.08 | -35.2 | — | |
| ctdGANClassifier=RF2025.08 | -35.2 | — | |
| COP GANClassifier=RF2025.08 | -35.4 | — |