Synthetic Data Generation on Beijing (C2ST)
99.72C2STSMOTE
Evaluation Results
| Method | Links | |
|---|---|---|
| SMOTEC2ST Classifier=Logistic Regression, Note=Our reproduction2026.05 | 99.72 | |
| COPULADIFFC2ST Classifier=Logistic Regression2026.05 | 95.76 | |
| TABKDEC2ST Classifier=Logistic Regression, Data Split=Zhang et al. (2024)2026.05 | 95.14 | |
| TabDDPMC2ST Classifier=Logistic Regression2026.05 | 95.13 | |
| RANDCORETABKDEC2ST Classifier=Logistic Regression, Data Split=Zhang et al. (2024)2026.05 | 95.03 | |
| TABSYNC2ST Classifier=Logistic Regression, Note=Our reproduction2026.05 | 92.68 | |
| CORETABKDEC2ST Classifier=Logistic Regression, Data Split=Zhang et al. (2024)2026.05 | 89.24 | |
| VAETABKDEC2ST Classifier=Logistic Regression2026.05 | 80.22 | |
| CoDiC2ST Classifier=Logistic Regression2026.05 | 71.77 | |
| GReaTC2ST Classifier=Logistic Regression2026.05 | 68.93 |