Tabular Data Generation on Beijing (alpha-Precision, beta-Recall, C2ST)
99.51Alpha PrecisionTabGRAA
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| TabGRAAModel Category=LLM-based2026.04 | 99.51 | 59.04 | 0.9674 | |
| GReaTModel Category=LLM-based2026.04 | 98.32 | 43.34 | 0.6893 | |
| TabDiffModel Category=Diffusion-based2026.04 | 98.06 | 59.63 | 0.9781 | |
| TabDDPMModel Category=Diffusion-based2026.04 | 97.93 | 56.92 | 0.9513 | |
| TVAEModel Category=GAN-based2026.04 | 97.2 | 28.45 | 0.8659 | |
| CTGANModel Category=GAN-based2026.04 | 96.27 | 34.8 | 0.7531 | |
| TabSynModel Category=Diffusion-based2026.04 | 87.51 | 59.15 | 0.9528 |