10-year Mortality on HRS (held-out set)
0.778AUCMedFeat
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| MedFeatBackbone=XGBoost, HPO=true2026.02 | 0.778 | 30.6 | |
| BaselineBackbone=Logistic Regression (LR), HPO=true2026.02 | 0.774 | 29.8 | |
| MedFeatBackbone=Logistic Regression (LR), HPO=true2026.02 | 0.774 | 30.7 | |
| BaselineBackbone=XGBoost, HPO=true2026.02 | 0.773 | 29.1 | |
| BaselineEvaluation Model=Logistic Regression2026.02 | 0.769 | 27.3 | |
| MedFeatEvaluation Model=Logistic Regression2026.02 | 0.767 | 30.8 | |
| OCTreeEvaluation Model=Logistic Regression2026.02 | 0.746 | 28.8 | |
| CAAFEEvaluation Model=Logistic Regression2026.02 | 0.718 | 30.2 | |
| MedFeatModel=XGBoost, Evaluation=Held-out set across 3 random splits2026.02 | 0.708 | 26.8 | |
| BaselineModel=XGBoost, Evaluation=Held-out set across 3 random splits2026.02 | 0.689 | 23.8 | |
| OCTreeModel=XGBoost, Evaluation=Held-out set across 3 random splits2026.02 | 0.685 | 25 | |
| CAAFEModel=XGBoost, Evaluation=Held-out set across 3 random splits2026.02 | 0.682 | 25 | |
| OpenFEModel=XGBoost, Evaluation=Held-out set across 3 random splits2026.02 | 0.652 | 21.2 | |
| FeatLLMEvaluation Model=Logistic Regression2026.02 | 0.631 | — | |
| FeatLLMModel=XGBoost, Evaluation=Held-out set across 3 random splits2026.02 | 0.597 | — | |
| OpenFEEvaluation Model=Logistic Regression2026.02 | 0.577 | 11.7 |