| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Few-Shot Class Incremental Learning | Obesity | PD26.13 | 16 | |
| Classification | Obesity | Accuracy71.13 | 11 | |
| Influence Maximization | Obesity Synthetic (test) | Disparity Fairness0.0043 | 9 | |
| Influence Maximization | Obesity Synthetic | Outreach11.82 | 9 | |
| Downstream ML Utility | Obesity | F1-score92.9 | 8 | |
| Tabular Synthetic Data Generation | Obesity | KS Statistic0.023 | 8 | |
| Multi-class Classification | Obesity | Accuracy66.5 | 8 | |
| Tabular Data Generation | Obesity | Peak GPU Memory Usage (GB)2.4 | 7 | |
| Classification | Obesity-Bin | Accuracy100 | 6 | |
| Mixed-type tabular clustering | Obesity | ARI0.222 | 6 | |
| Classification | Obesity | Accuracy98 | 5 | |
| Causal Discovery | Obesity | Precision0.67 | 4 | |
| Tabular Data Synthesis | Obesity | F1 Score92.9 | 3 | |
| Probability Calibration | Obesity dataset (Xt) | ECE (sqrt(n) bins)0.16 | 1 |