The Area Under Curve (AUC) is a performance measurement for classification models at various threshold settings, representing the degree or measure of separability between classes. A higher AUC indicates a better model performance, with an AUC of 1.0 representing a perfect model and 0.5 indicating a model with no discriminative power.