Regression on CTR23
4.61Average Rank (R2, RMSE)LimiX-16M
Evaluation results
| Method | Links | |
|---|---|---|
| LimiX-16MNumber of Parameters=16.52M2026.06 | 4.61 | |
| AutoGluon2026.06 | 5.89 | |
| RealMLP2026.06 | 6.32 | |
| TabM2026.06 | 6.53 | |
| LimiX-2MNumber of Parameters=1.92M2026.06 | 7.65 | |
| TabPFN-v2Number of Parameters=7.24M2026.06 | 8.44 | |
| XGBoost2026.06 | 9.85 | |
| LightGBM2026.06 | 10.89 | |
| ET2026.06 | 11.97 | |
| CatBoost2026.06 | 12.39 | |
| RF2026.06 | 12.8 | |
| ExcelFormer2026.06 | 13.89 | |
| T2G-Former2026.06 | 15.05 | |
| DCN-v22026.06 | 15.82 | |
| ResNet2026.06 | 15.91 | |
| FT-Transformer2026.06 | 15.95 | |
| TabR2026.06 | 16.14 | |
| MLP-PLR2026.06 | 16.92 | |
| ModernNCA2026.06 | 16.94 | |
| MLP2026.06 | 17.12 | |
| SAINT2026.06 | 17.89 | |
| MitraNumber of Parameters=75.67M2026.06 | 18 | |
| TANGOS2026.06 | 18.14 | |
| AutoInt2026.06 | 18.95 | |
| NODE2026.06 | 21.62 | |
| TabNet2026.06 | 21.85 | |
| DNNR2026.06 | 23.91 | |
| SNN2026.06 | 26.77 | |
| GrowNet2026.06 | 28.65 | |
| DANets2026.06 | 30 | |
| TabTransformer2026.06 | 30.03 | |
| SwitchTab2026.06 | 31.09 |