Generative Tabular Data Modeling on Wine
0.213Mean Wasserstein DistanceTabDDPM
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| TabDDPM2026.05 | 0.213 | 0.019 | 96.7 | 0.033 | 2.172 | 0.672 | 3.901 | 0.048 | |
| TREEFLOW2026.05 | 0.214 | 0.018 | 98.1 | 0.023 | 2.214 | 0.565 | 1.816 | 0.045 | |
| GaussianCopula2026.05 | 0.265 | 0.032 | 45.9 | 0.061 | 2.352 | 0.197 | 0.742 | 0.04 | |
| TVAE2026.05 | 0.509 | 0.049 | 44.8 | 0.161 | 4.683 | 0.445 | 2.265 | 0.077 | |
| CTGAN2026.05 | 0.764 | 0.098 | 54.4 | 0.104 | 5.027 | 0.361 | 2.95 | 0.067 |