Classification on Classification benchmarks strict intersection with CNN-1D
0.012p-valueTabPFN-Raw vs CNN-1D
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| TabPFN-Raw vs CNN-1D2026.05 | 0.012 | — | — | |
| TabPFN-opt vs CNN-1D2026.05 | 0.049 | — | — | |
| PLS-DA vs CNN-1D2026.05 | 0.079 | — | — | |
| TabPFN-Raw vs CatBoost2026.05 | 0.221 | — | — | |
| CatBoost vs CNN-1D2026.05 | 0.262 | — | — | |
| TabPFN-opt vs CatBoost2026.05 | 0.635 | — | — | |
| TabPFN-Raw vs PLS-DA2026.05 | 0.747 | — | — | |
| CatBoost vs PLS-DA2026.05 | 0.798 | — | — | |
| TabPFN-opt vs TabPFN-Raw2026.05 | 0.885 | — | — | |
| TabPFN-opt vs PLS-DA2026.05 | 0.993 | — | — | |
| CatBoostCNN-1D available=true2026.05 | — | 3.083 | — | |
| CNN-1DCNN-1D available=true2026.05 | — | 4.917 | — | |
| PLS-DACNN-1D available=true2026.05 | — | 2.583 | — | |
| TabPFN-optCNN-1D available=true2026.05 | — | 2.417 | — | |
| TabPFN-RawCNN-1D available=true2026.05 | — | 2 | — |