by Michele Laurelli
Area under ROC curve, measuring binary classifier quality across all thresholds.
ROC plots true positive rate vs false positive rate. AUC = 1 is perfect, 0.5 is random. Threshold-independent metric.
Binary classification evaluation
Model comparison
Imbalanced classes