Tabular Data Generation on Adult (alpha-Precision, beta-Recall, C2ST)
0.995C2STTabDiff
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| TabDiffModel Category=Diffusion-based2026.04 | 0.995 | 99.02 | 51.64 | |
| TabDiffModel Category=Diffusion-based2026.04 | 0.995 | — | — | |
| TabSynModel Category=Diffusion-based2026.04 | 0.991 | 99.39 | 47.92 | |
| TabSynModel Category=Diffusion-based2026.04 | 0.991 | — | — | |
| TabDDPMModel Category=Diffusion-based2026.04 | 0.9755 | 96.39 | 47.05 | |
| TabDDPMModel Category=Diffusion-based2026.04 | 0.9755 | — | — | |
| TabGRAAModel Category=LLM-based2026.04 | 0.9627 | 99.44 | 52.14 | |
| TabGRAAModel Category=LLM-based2026.04 | 0.9627 | — | — | |
| TVAEModel Category=GAN-based2026.04 | 0.6315 | 98.17 | 38.87 | |
| TVAEModel Category=GAN-based2026.04 | 0.6315 | — | — | |
| CTGANModel Category=GAN-based2026.04 | 0.5949 | 77.74 | 30.8 | |
| CTGANModel Category=GAN-based2026.04 | 0.5949 | — | — | |
| GReaTModel Category=LLM-based2026.04 | 0.5376 | 55.79 | 49.12 | |
| GReaTModel Category=LLM-based2026.04 | 0.5376 | — | — |