Tabular Classification on glass6
93.7Balanced AccuracyctdGAN
Evaluation results
| Method | Links | ||
|---|---|---|---|
| ctdGANClassifier=Random Forest2025.08 | 93.7 | — | |
| ctdGANClassifier=XGBoost2025.08 | 93.4 | 86.6 | |
| ctdGANClassifier=Multilayer Perceptron2025.08 | 93 | — | |
| TVAEClassifier=RF2025.08 | 4 | — | |
| TVAEClassifier=MLP2025.08 | 0.2 | — | |
| TVAEClassifier=XGBoost2025.08 | 0 | -3.6 | |
| GCOP GANClassifier=MLP2025.08 | -0.8 | — | |
| ctdGANClassifier=XGBoost2025.08 | -3.5 | -6.2 | |
| CTAB GAN+Classifier=MLP2025.08 | -6 | — | |
| ctdGANClassifier=RF2025.08 | -9 | — | |
| ctdGANClassifier=MLP2025.08 | -9.5 | — | |
| COP GANClassifier=MLP2025.08 | -14.6 | — | |
| CT GANClassifier=MLP2025.08 | -15.6 | — | |
| CGANClassifier=MLP2025.08 | -16.8 | — | |
| SB GANClassifier=MLP2025.08 | -16.8 | — | |
| CTAB GAN+Classifier=XGBoost2025.08 | -25.3 | -52 | |
| CTAB GAN+Classifier=RF2025.08 | -27.9 | — | |
| CT GANClassifier=XGBoost2025.08 | -32.3 | -65.2 | |
| COP GANClassifier=XGBoost2025.08 | -32.5 | -65 | |
| GCOP GANClassifier=RF2025.08 | -32.5 | — | |
| GCOP GANClassifier=XGBoost2025.08 | -33.9 | -74 | |
| COP GANClassifier=RF2025.08 | -36.1 | — | |
| CT GANClassifier=RF2025.08 | -36.9 | — | |
| CGANClassifier=RF2025.08 | -43.5 | — | |
| SB GANClassifier=RF2025.08 | -43.5 | — | |
| CGANClassifier=XGBoost2025.08 | -44.6 | -98.3 | |
| SB GANClassifier=XGBoost2025.08 | -44.8 | -98.3 |