The receiver operating characteristic curve plots true-positive rate against false-positive rate as the threshold changes. The metric does not select an operating threshold and can be less informative for highly imbalanced problems.
ROC AUC summarizes how well a scoring model ranks positive examples above negative examples across thresholds.
The receiver operating characteristic curve plots true-positive rate against false-positive rate as the threshold changes. The metric does not select an operating threshold and can be less informative for highly imbalanced problems.