Fig. 11
From: Explainable artificial intelligence for predictive modeling of student stress in higher education
Confusion matrices for six optimized classifiers applied to stress level prediction: (a) Logistic Regression, (b) Support Vector Machine (SVM), (c) Gradient Boosting, (d) Decision Tree, (e) XGBoost, and (f) Random Forest, highlighting classification performance across three stress categories.
