ResearchBenchmarksStress Detection on WESAD (5-fold stratified cross-val)Follow99.46AUCXGBoost70.620878.107985.59593.0821May 29, 2026Evaluation ResultsMethodMethodLinksAUCF1 Score (Macro)F1 Score (B)PrecisionRecallAccuracyXGBoostn_estimators=200, max_...n_estimators=200, max_depth=6, learning_rate=0.05, subsample=0.82026.0599.469490.7285.5296.5995.79DEMexplanation tree depth...explanation tree depth (d)=32026.0590.4775.5961.7460.8562.6583.46EBM2026.0584.2344.691.2499.30.6278.83LR2026.0571.7364.0849.7938.5270.469.76