Tabular Data Generation on Magic (alpha-Precision, beta-Recall, C2ST)
99.98C2STTabDDPM
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| TabDDPMModel Category=Diffusion-based2026.04 | 99.98 | 98.59 | 48.46 | |
| TabDDPMModel Category=Diffusion-based2026.04 | 99.98 | — | — | |
| TabDiffModel Category=Diffusion-based2026.04 | 99.89 | 99.42 | 48.01 | |
| TabDiffModel Category=Diffusion-based2026.04 | 99.89 | — | — | |
| TabSynModel Category=Diffusion-based2026.04 | 99.6 | 99.42 | 48.03 | |
| TabSynModel Category=Diffusion-based2026.04 | 99.6 | — | — | |
| TabGRAAModel Category=LLM-based2026.04 | 98.23 | 95.26 | 47.48 | |
| TabGRAAModel Category=LLM-based2026.04 | 98.23 | — | — | |
| TVAEModel Category=GAN-based2026.04 | 77.06 | 86.19 | 32.44 | |
| TVAEModel Category=GAN-based2026.04 | 77.06 | — | — | |
| CTGANModel Category=GAN-based2026.04 | 67.28 | 86.9 | 11.75 | |
| CTGANModel Category=GAN-based2026.04 | 67.28 | — | — | |
| GReaTModel Category=LLM-based2026.04 | 43.26 | 85.46 | 34.91 | |
| GReaTModel Category=LLM-based2026.04 | 43.26 | — | — |