The area under the precision-recall curve (AUCPR) is a single number summary of the information in the precision-recall (PR) curve. Similar to the receiver operating characteristic curve, the PR curve has its own unique properties that make estimating its enclosed area challenging. Besides a point estimate of the area, an interval estimate is often required to express magnitude and uncertainty. In this paper we perform a computational analysis of common AUCPR estimators and their confidence intervals. We find both satisfactory estimates and invalid procedures and we recommend two simple intervals that are robust to a variety of assumptions. © 2013 Springer-Verlag.
CITATION STYLE
Boyd, K., Eng, K. H., & Page, C. D. (2013). Area under the precision-recall curve: Point estimates and confidence intervals. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8190 LNAI, pp. 451–466). https://doi.org/10.1007/978-3-642-40994-3_29
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