Classification on Internal meningioma dataset volumetric response prediction (outer cross-validation)
0.81AUC MeanTabPFN
Evaluation results
| Method | Links | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| TabPFNFramework=Radiomics- and clinical feature-driven2026.04 | 0.81 | 0.07 | 76 | 0.04 | 76 | 0.08 | 86 | 0.05 | 81 | 0.06 | |
| Random ForestFramework=Radiomics- and clinical feature-driven2026.04 | 0.76 | 0.07 | 69 | 0.1 | 73 | 0.11 | 79 | 0.1 | 76 | 0.11 | |
| CatBoostFramework=Radiomics- and clinical feature-driven2026.04 | 0.73 | 0.06 | 71 | 0.04 | 65 | 0.08 | 74 | 0.05 | 69 | 0.07 | |
| XGBoostFramework=Radiomics- and clinical feature-driven2026.04 | 0.72 | 0.07 | 69 | 0.08 | 70 | 0.06 | 74 | 0.04 | 72 | 0.05 | |
| Ridge ClassifierFramework=Radiomics- and clinical feature-driven2026.04 | 0.7 | 0.06 | 69 | 0.07 | 65 | 0.1 | 71 | 0.08 | 68 | 0.09 | |
| Decision TreeFramework=Radiomics- and clinical feature-driven2026.04 | 0.67 | 0.06 | 66 | 0.07 | 64 | 0.1 | 67 | 0.04 | 66 | 0.07 |