PR AUC
Area under the interpolated precision-recall curve, obtained by plotting (recall, precision) points for different values of the classification threshold.
Plain English Explanation
Area under the interpolated precision-recall curve, obtained by plotting (recall, precision) points for different values of the classification threshold.
How is it used?
Practitioners refer to pr auc when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.