Synthetic Data Generation on Magic (C2ST)
100C2STTABKDE
Evaluation Results
| Method | Links | |
|---|---|---|
| TABKDEC2ST Classifier=Logistic Regression, Data Split=Zhang et al. (2024)2026.05 | 100 | |
| TabDDPMC2ST Classifier=Logistic Regression2026.05 | 99.98 | |
| VAETABKDEC2ST Classifier=Logistic Regression2026.05 | 99.84 | |
| RANDCORETABKDEC2ST Classifier=Logistic Regression, Data Split=Zhang et al. (2024)2026.05 | 99.21 | |
| COPULADIFFC2ST Classifier=Logistic Regression2026.05 | 99.14 | |
| TABSYNC2ST Classifier=Logistic Regression, Note=Our reproduction2026.05 | 98.93 | |
| CORETABKDEC2ST Classifier=Logistic Regression, Data Split=Zhang et al. (2024)2026.05 | 98.64 | |
| SMOTEC2ST Classifier=Logistic Regression, Note=Our reproduction2026.05 | 98.03 | |
| CoDiC2ST Classifier=Logistic Regression2026.05 | 72.06 | |
| GReaTC2ST Classifier=Logistic Regression2026.05 | 43.26 |