Tabular Data Synthesis on Beijing (alpha-Precision, beta-Recall, C2ST)
0.9972C2STSMOTE
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| SMOTEReproduction Status=Our reproduction2026.05 | 0.9972 | — | — | |
| TabDiffModel Type=Diffusion-based2026.04 | 0.9781 | 98.06 | 59.63 | |
| TabGRAAModel Type=LLM-based2026.04 | 0.9674 | 99.51 | 59.04 | |
| COPULADIFF2026.05 | 0.9576 | — | — | |
| TABKDESeed=keep the seed2026.05 | 0.9548 | — | — | |
| TabSynModel Type=Diffusion-based2026.04 | 0.9528 | 87.51 | 59.15 | |
| TABKDE2026.05 | 0.9514 | — | — | |
| TabDDPMModel Type=Diffusion-based2026.04 | 0.9513 | 97.93 | 56.92 | |
| TabDDPM2026.05 | 0.9513 | — | — | |
| RANDCORETABKDE2026.05 | 0.9503 | — | — | |
| SIMPLE-KDE2026.05 | 0.9497 | — | — | |
| TABSYNReproduction Status=Our reproduction2026.05 | 0.9268 | — | — | |
| TABKDESeed=change the seed2026.05 | 0.9266 | — | — | |
| CORETABKDE2026.05 | 0.8924 | — | — | |
| TVAEModel Type=GAN-based2026.04 | 0.8659 | 97.2 | 28.45 | |
| TVAE2026.05 | 0.8659 | — | — | |
| PGE-TABSYN2026.05 | 0.8629 | — | — | |
| VAETABKDE2026.05 | 0.8022 | — | — | |
| STaSy2026.05 | 0.7922 | — | — | |
| CTGANModel Type=GAN-based2026.04 | 0.7531 | 96.27 | 34.8 | |
| CTGAN2026.05 | 0.7531 | — | — | |
| VAESIMPLEKDE2026.05 | 0.7392 | — | — | |
| CoDi2026.05 | 0.7177 | — | — | |
| GReaTModel Type=LLM-based2026.04 | 0.6893 | 98.32 | 43.34 | |
| GReaT2026.05 | 0.6893 | — | — | |
| GOGGLE2026.05 | 0.4779 | — | — |