A measure of the ability of a classifier to distinguish between classes in machine learning. A higher AUC means that a model performs better when distinguishing between the two classes. AUC measures the entire two-dimensional area under the receiver operating characteristic (ROC) curve.
Sources:
NIST AI 100-2e2025