Tabular Data Generation on Shoppers (alpha-Precision, beta-Recall, C2ST)
98.43C2STTabDiff
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| TabDiffModel Category=Diffusion-based2026.04 | 98.43 | 99.11 | 49.75 | |
| TabDiffModel Category=Diffusion-based2026.04 | 98.43 | — | — | |
| TabGRAAModel Category=LLM-based2026.04 | 97.83 | 99.61 | 50.22 | |
| TabGRAAModel Category=LLM-based2026.04 | 97.83 | — | — | |
| TabSynModel Category=Diffusion-based2026.04 | 96.62 | 98.36 | 49.1 | |
| TabSynModel Category=Diffusion-based2026.04 | 96.62 | — | — | |
| TabDDPMModel Category=Diffusion-based2026.04 | 83.49 | 88.55 | 47.79 | |
| TabDDPMModel Category=Diffusion-based2026.04 | 83.49 | — | — | |
| CTGANModel Category=GAN-based2026.04 | 74.88 | 76.97 | 31.8 | |
| CTGANModel Category=GAN-based2026.04 | 74.88 | — | — | |
| GReaTModel Category=LLM-based2026.04 | 42.85 | 78.88 | 44.9 | |
| GReaTModel Category=LLM-based2026.04 | 42.85 | — | — | |
| TVAEModel Category=GAN-based2026.04 | 29.62 | 58.19 | 19.78 | |
| TVAEModel Category=GAN-based2026.04 | 29.62 | — | — |