Area Under the PR Curve

A metric that summarizes model performance across different precision and recall tradeoffs by measuring the area under the precision-recall curve. It is especially useful for imbalanced classification problems where overall accuracy can hide poor performance on the minority class.

See also: Precision, Recall, Area Under the Curve.