Area under the precision-recall curve: Point estimates and confidence intervals

373Citations
Citations of this article
261Readers
Mendeley users who have this article in their library.

Abstract

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.

Cite

CITATION STYLE

APA

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

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free