ROC Curve

The Receiver Operating Characteristic curve plots the true positive rate (sensitivity) against the false positive rate (1 − specificity) as the classification threshold is swept. Six classifiers are shown, from near-perfect (AUC = 0.99) down to poor (AUC = 0.65), against the diagonal a random guess would trace (AUC = 0.5). The area under each curve summarizes performance independently of any single threshold, so the ordering of the curves holds however the operating point is later chosen.