Area under the precision-recall curve: Point estimates and confidence intervals
Publication
, Conference
Boyd, K; Eng, KH; Page, CD
Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
October 31, 2013
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.
Duke Scholars
Published In
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
DOI
EISSN
1611-3349
ISSN
0302-9743
ISBN
9783642409936
Publication Date
October 31, 2013
Volume
8190 LNAI
Issue
PART 3
Start / End Page
451 / 466
Related Subject Headings
- Artificial Intelligence & Image Processing
- 46 Information and computing sciences
Citation
APA
Chicago
ICMJE
MLA
NLM
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
Boyd, K., K. H. Eng, and C. D. Page. “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), 8190 LNAI:451–66, 2013. https://doi.org/10.1007/978-3-642-40994-3_29.
Boyd K, Eng KH, Page CD. 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). 2013. p. 451–66.
Boyd, K., et al. “Area under the precision-recall curve: Point estimates and confidence intervals.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8190 LNAI, no. PART 3, 2013, pp. 451–66. Scopus, doi:10.1007/978-3-642-40994-3_29.
Boyd K, Eng KH, Page CD. Area under the precision-recall curve: Point estimates and confidence intervals. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2013. p. 451–466.
Published In
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
DOI
EISSN
1611-3349
ISSN
0302-9743
ISBN
9783642409936
Publication Date
October 31, 2013
Volume
8190 LNAI
Issue
PART 3
Start / End Page
451 / 466
Related Subject Headings
- Artificial Intelligence & Image Processing
- 46 Information and computing sciences