Tabular Data Utility on California (test)
0.999AUCReal
Evaluation results
| Method | Links | |
|---|---|---|
| RealModel Category=Oracle, Evaluation Protocol=TSTR (XGBoost)2025.02 | 0.999 | |
| STaSyModel Category=Diffusion-based, Evaluation Protocol=TSTR (XGBoost)2025.02 | 0.997 | |
| GReaTModel Category=LLM-Finetuned, Evaluation Protocol=TSTR (XGBoost)2025.02 | 0.996 | |
| TabSynModel Category=Diffusion-based, Evaluation Protocol=TSTR (XGBoost)2025.02 | 0.993 | |
| TabDDPMModel Category=Diffusion-based, Evaluation Protocol=TSTR (XGBoost)2025.02 | 0.992 | |
| TabMTModel Category=Autoregressive Models, Evaluation Protocol=TSTR (XGBoost)2025.02 | 0.988 | |
| TVAEModel Category=VAE-based, Evaluation Protocol=TSTR (XGBoost)2025.02 | 0.986 | |
| CoDiModel Category=Diffusion-based, Evaluation Protocol=TSTR (XGBoost)2025.02 | 0.981 | |
| TABGEN-ICLModel Category=LLM-Prompt-Only, Backbone=GPT-4o, Evaluation Protocol=TSTR (XGBoost)2025.02 | 0.975 | |
| RTFModel Category=Autoregressive Models, Evaluation Protocol=TSTR (XGBoost)2025.02 | 0.948 | |
| TABGEN-ICLModel Category=LLM-Prompt-Only, Backbone=GPT-4o-mini, Evaluation Protocol=TSTR (XGBoost)2025.02 | 0.947 | |
| CLLMModel Category=LLM-Prompt-Only, Backbone=GPT-4o, Evaluation Protocol=TSTR (XGBoost)2025.02 | 0.947 | |
| CTGANModel Category=GAN-based, Evaluation Protocol=TSTR (XGBoost)2025.02 | 0.925 | |
| CLLMModel Category=LLM-Prompt-Only, Backbone=GPT-4o-mini, Evaluation Protocol=TSTR (XGBoost)2025.02 | 0.84 |