The Area Under the Curve (AUC) is a performance metric for classification models, representing the probability that a randomly chosen positive instance is ranked higher than a randomly chosen negative instance. AUC provides a single scalar value to assess the discriminatory power of a model, with values closer to 1 indicating better performance.