24-hour Inpatient Mortality on IORD (held-out set)
0.849AUCBaseline
Evaluation results
| Method | Links | ||
|---|---|---|---|
| BaselineBackbone=Logistic Regression (LR), HPO=true2026.02 | 0.849 | 2.7 | |
| MedFeatBackbone=XGBoost, HPO=true2026.02 | 0.847 | 3 | |
| MedFeatBackbone=Logistic Regression (LR), HPO=true2026.02 | 0.842 | 3.2 | |
| BaselineBackbone=XGBoost, HPO=true2026.02 | 0.84 | 2.2 | |
| OCTreeEvaluation Model=Logistic Regression2026.02 | 0.84 | 2.1 | |
| MedFeatEvaluation Model=Logistic Regression2026.02 | 0.839 | 2.8 | |
| BaselineEvaluation Model=Logistic Regression2026.02 | 0.837 | 2.7 | |
| MedFeatModel=XGBoost, Evaluation=Held-out set across 3 random splits2026.02 | 0.74 | 1.8 | |
| CAAFEEvaluation Model=Logistic Regression2026.02 | 0.734 | 2.1 | |
| CAAFEModel=XGBoost, Evaluation=Held-out set across 3 random splits2026.02 | 0.705 | 1.4 | |
| OCTreeModel=XGBoost, Evaluation=Held-out set across 3 random splits2026.02 | 0.702 | 1.5 | |
| OpenFEModel=XGBoost, Evaluation=Held-out set across 3 random splits2026.02 | 0.689 | 2.8 | |
| BaselineModel=XGBoost, Evaluation=Held-out set across 3 random splits2026.02 | 0.686 | 1.4 | |
| OpenFEEvaluation Model=Logistic Regression2026.02 | 0.562 | 3.6 | |
| FeatLLMEvaluation Model=Logistic Regression2026.02 | 0.537 | — | |
| FeatLLMModel=XGBoost, Evaluation=Held-out set across 3 random splits2026.02 | 0.53 | — |