Performance

Model evaluation metrics
Dataset Model Performance Graph
Model AUC ± std F1 Acc
logistic0.8722 ± 0.03480.78180.7793
svm0.9004 ± 0.03000.81970.8228
nb0.7908 ± 0.03300.76410.7500
rf0.8790 ± 0.04010.80230.8033
xgb0.8845 ± 0.03370.79300.7902
mlp0.8940 ± 0.03470.81650.8120
🏆 Selected Model: SVM (Mean AUC = 0.9004)
✅ Final Test Performance (threshold = 0.50):
Acc = 0.8793 | F1 = 0.8750 | AUC = 0.9420
Precision = 0.9074 | Recall = 0.8448