All terms
Evaluation
ROC-AUC
A score summarizing how well a classifier separates two classes across all cutoffs.
Definition
ROC-AUC scores a classifier across every possible decision threshold. The ROC curve plots the true-positive rate against the false-positive rate, and the AUC — the area under that curve — condenses it into one number from 0.5 (random) to 1.0 (perfect). It is popular because it does not depend on a single cutoff.