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Stress Detection on WESAD (5-fold stratified cross-val)

99.46AUCXGBoost
70.620878.107985.59593.0821May 29, 2026

Evaluation results

MethodLinks
XGBoostn_estimators=200, max_depth=6, learning_rate=0.05, subsample=0.82026.0599.469490.7285.5296.5995.79
DEMexplanation tree depth (d)=32026.0590.4775.5961.7460.8562.6583.46
EBM2026.0584.2344.691.2499.30.6278.83
LR2026.0571.7364.0849.7938.5270.469.76