| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Classification | Magic | F1 Score83 | 36 | |
| Classification | magic | F1 Score86.69 | 26 | |
| Classification | Magic | AUC79.3 | 25 | |
| Tabular Data Generation | Magic | DCR-00253.98 | 20 | |
| Binary Classification | MAGIC | AUC0.9011 | 20 | |
| Binary Classification | MAGIC [0, 1/2] | AUC0.8918 | 20 | |
| Tabular Data Utility | Magic (test) | AUC0.946 | 14 | |
| Classification | magic | Accuracy88.5 | 12 | |
| Classification | magic04 | Macro F186.69 | 12 | |
| Classification | magic04 | Accuracy88.62 | 12 | |
| Tabular Data Generation | Magic (test) | MLE0.946 | 12 | |
| Classification | magic D6 0.15 (test) | Mean Accuracy88.288 | 10 | |
| Tabular Data Generation | Magic | Beta Recall51 | 10 | |
| Tabular Data Generation | Magic | alpha-PRECISION99.48 | 10 | |
| Tabular Data Privacy Evaluation | Magic | DCR-0050.0023 | 10 | |
| Tabular Data Generation | Magic | NMIS99.75 | 10 | |
| Tabular Data Generation | Magic | TREND Score99.18 | 10 | |
| Tabular Data Synthesis | Magic | WNMIS0.9971 | 10 | |
| Tabular Data Generation | Magic | C2ST (LR)0.9964 | 10 | |
| Tabular Data Generation | Magic | SHAPE0.9938 | 10 | |
| Classification | Magic N=400 (train) | F1 Score82 | 9 | |
| Classification | Magic N=800 (train) | F1 Score82 | 8 | |
| Tabular Classification | Magic imbalanced (test) | PR-AUC91.6 | 8 | |
| Classification | magic | Cohen's Kappa0.89 | 8 | |
| Classification | Magic real-world (test) | Accuracy88 | 7 |