The area under the curve (AUC) is a metric for binary [[Classification|classification]] (although it can be adapted for multivariate) closely related to the [[Receiver Operating Characteristic Curve|ROC curve]]. It tests whether the negative labels rank lower than the positive ones, that is, measures the discrimination power that the estimator has between the positive and negative predictions.