The Area Under the Curve (AUC) is a metric that provides a single scalar representation of a classifier’s performance. While often associated with the Receiver Operating Characteristic (ROC) curve, it can also apply to other curves such as the Precision-Recall (PR) curve. The AUC essentially quantifies the likelihood that the classifier will correctly rank a randomly chosen positive instance higher than a randomly chosen negative one.
