Discharge Next Day on IORD (held-out set)
0.726AUCMedFeat
Evaluation results
| Method | Links | ||
|---|---|---|---|
| MedFeatBackbone=XGBoost, HPO=true2026.02 | 0.726 | 0.413 | |
| BaselineBackbone=XGBoost, HPO=true2026.02 | 0.725 | 0.409 | |
| MedFeatEvaluation Model=Logistic Regression2026.02 | 0.713 | 0.406 | |
| MedFeatBackbone=Logistic Regression (LR), HPO=true2026.02 | 0.712 | 0.408 | |
| MedFeatModel=XGBoost, Evaluation=Held-out set across 3 random splits2026.02 | 0.711 | 0.404 | |
| CAAFEModel=XGBoost, Evaluation=Held-out set across 3 random splits2026.02 | 0.71 | 0.399 | |
| OCTreeModel=XGBoost, Evaluation=Held-out set across 3 random splits2026.02 | 0.71 | 0.401 | |
| BaselineModel=XGBoost, Evaluation=Held-out set across 3 random splits2026.02 | 0.709 | 0.394 | |
| BaselineBackbone=Logistic Regression (LR), HPO=true2026.02 | 0.697 | 0.388 | |
| BaselineEvaluation Model=Logistic Regression2026.02 | 0.697 | 0.389 | |
| OCTreeEvaluation Model=Logistic Regression2026.02 | 0.697 | 0.388 | |
| OpenFEModel=XGBoost, Evaluation=Held-out set across 3 random splits2026.02 | 0.696 | 0.387 | |
| OpenFEEvaluation Model=Logistic Regression2026.02 | 0.632 | 0.316 | |
| CAAFEEvaluation Model=Logistic Regression2026.02 | 0.631 | 0.386 | |
| FeatLLMEvaluation Model=Logistic Regression2026.02 | 0.544 | — | |
| FeatLLMModel=XGBoost, Evaluation=Held-out set across 3 random splits2026.02 | 0.539 | — |