| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| Beijing (test) | MLE0.423 | 12 | 4d ago | ||
| Shoppers (test) | MLE0.658 | 12 | 4d ago | ||
| Magic (test) | MLE0.946 | 12 | 4d ago | ||
| Adult (test) | MLE0.778 | 12 | 4d ago | ||
| Default (test) | CoDi | MLE0.525 | 11 | 4d ago | |
| 8 real datasets | CTGAN | Number of Wins8 | 8 | 4d ago | |
| HELOC | CTGAN | Lsyn-62.584 | 6 | 4d ago | |
| Adult | Lsyn-13.852 | 6 | 4d ago | ||
| CH | CTabGAN+ | MLE0.702 | 6 | 4d ago | |
| BU | TabMT | MLE90.8 | 6 | 4d ago | |
| CIDDS-001 (val) | Precision90.42 | 5 | 4d ago | ||
| Superconduct | MAGT | W20.0998 | 4 | 4d ago | |
| Covertype (test) | CLLM | Marginal5.35 | 4 | 4d ago | |
| DI | TabMT | MLE0.769 | 4 | 4d ago | |
| Genomes | MAGT | W20.1688 | 3 | 4d ago | |
| Regression Datasets | TabularQGAN | Diff Corr0.19 | 2 | 4d ago | |
| Classification Datasets | QTabGAN | Avg. JSD0.05 | 2 | 4d ago | |
| DI | TabMT | DCR0.243 | 2 | 4d ago | |
| CAR | STaSY | MLE0.725 | 2 | 4d ago | |
| CA | TabMT | MLE0.838 | 2 | 4d ago | |
| AD | STaSY | MLE0.79 | 2 | 4d ago | |
| AB | STaSY | MLE0.482 | 2 | 4d ago | |
| MIMIC-IV | - | - | 0 | 4d ago |
