Tabular Data Generation on Shoppers (test)
0.658MLEGOGGLE
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| GOGGLEArchitecture=VAE-based2024.11 | 0.658 | 22.33 | — | |
| Qwen2.5-14B ICLProtocol=5-shot ICL2024.11 | 0.783 | 52.69 | — | |
| GPT-4 ICLProtocol=5-shot ICL2024.11 | 0.835 | 41.11 | — | |
| CoDiArchitecture=Diffusion-based2024.11 | 0.865 | 31.84 | — | |
| TVAEArchitecture=VAE-based2024.11 | 0.871 | 24.51 | — | |
| CTGANArchitecture=GAN-based2024.11 | 0.875 | 21.15 | — | |
| Mistral-7B ICLProtocol=5-shot ICL2024.11 | 0.882 | 42 | — | |
| GReaTArchitecture=LLM-based2024.11 | 0.902 | 14.51 | — | |
| SMOTE2024.11 | 0.911 | 2.68 | — | |
| DiffLMArchitecture=Diffusion-based, Decoder=Mistral-v0.32024.11 | 0.915 | 10.07 | — | |
| TabSynArchitecture=Diffusion-based2024.11 | 0.92 | 1.43 | — | |
| RealSource=Original Data2024.11 | 0.926 | — | — | |
| CTGANModel Category=GAN-based2026.04 | — | — | 76.97 | |
| GReaTModel Category=LLM-based2026.04 | — | — | 78.88 | |
| TabDDPMModel Category=Diffusion-based2026.04 | — | — | 88.55 | |
| TabDiffModel Category=Diffusion-based2026.04 | — | — | 99.11 | |
| TabGRAAModel Category=LLM-based2026.04 | — | — | 99.61 | |
| TabSynModel Category=Diffusion-based2026.04 | — | — | 98.36 | |
| TVAEModel Category=GAN-based2026.04 | — | — | 58.19 |