A Review of the Receiver Operating Characteristic Curve and a Proof About the Area Beneath It
This paper formalizes the probabilistic interpretation of the Area Under the ROC Curve (AUC) as the probability that a classifier ranks a random positive instance higher than a random negative one, provides a bound on the error when underlying hypotheses are not met, and offers a brief literature review of ROC curves.