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