Tabular Data Generation on Adult (test)
0.778MLEGOGGLE
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| GOGGLEArchitecture=VAE-based2024.11 | 0.778 | 16.97 | — | — | |
| Mistral-7B ICLProtocol=5-shot ICL2024.11 | 0.803 | 29.22 | — | — | |
| Qwen2.5-14B ICLProtocol=5-shot ICL2024.11 | 0.848 | 17.28 | — | — | |
| CoDiArchitecture=Diffusion-based2024.11 | 0.871 | 21.38 | — | — | |
| TVAEArchitecture=VAE-based2024.11 | 0.878 | 14.22 | — | — | |
| CTGANArchitecture=GAN-based2024.11 | 0.886 | 16.84 | — | — | |
| GPT-4 ICLProtocol=5-shot ICL2024.11 | 0.889 | 32.55 | — | — | |
| SMOTE2024.11 | 0.899 | 1.6 | — | — | |
| DiffLMArchitecture=Diffusion-based, Decoder=Mistral-v0.32024.11 | 0.906 | 9.74 | — | — | |
| GReaTArchitecture=LLM-based2024.11 | 0.913 | 12.12 | — | — | |
| TabSynArchitecture=Diffusion-based2024.11 | 0.915 | 0.58 | — | — | |
| RealSource=Original Data2024.11 | 0.927 | — | — | — | |
| CTGAN2024.12 | — | — | 0.861 | — | |
| CTGANModel Category=GAN-based2026.04 | — | — | — | 77.74 | |
| GReaTModel Category=LLM-based2026.04 | — | — | — | 55.79 | |
| Real2024.12 | — | — | 0.927 | — | |
| TabCD2024.12 | — | — | 0.619 | — | |
| TabDDPM2024.12 | — | — | 0.91 | — | |
| TabDDPMModel Category=Diffusion-based2026.04 | — | — | — | 96.39 | |
| TabDiffModel Category=Diffusion-based2026.04 | — | — | — | 99.02 | |
| TabED-Cycperturbation=Cyc2024.12 | — | — | 0.831 | — | |
| TabED-Gridperturbation=Grid2024.12 | — | — | 0.833 | — | |
| TabED-Ordperturbation=Ord2024.12 | — | — | 0.853 | — | |
| TabED-Strperturbation=Str, feature knowledge=prior knowledge about structure2024.12 | — | — | 0.879 | — | |
| TabED-Uniperturbation=Uni2024.12 | — | — | 0.884 | — | |
| TabGRAAModel Category=LLM-based2026.04 | — | — | — | 99.44 | |
| TabSynModel Category=Diffusion-based2026.04 | — | — | — | 99.39 | |
| TVAE2024.12 | — | — | 0.873 | — | |
| TVAEModel Category=GAN-based2026.04 | — | — | — | 98.17 |