The Area Under the Receiver Operating Characteristic (ROC) Curve, often abbreviated as AUC, is a performance measurement for classification models at various threshold settings, representing the degree of separability between classes. A higher AUC indicates a better model at distinguishing between positive and negative classes, with an AUC of 1 meaning perfect classification and 0.5 indicating no discriminative power, akin to random guessing.