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PAV and the ROC convex hull
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Metadata
- Authors
- Fawcett, T., & Niculescu-Mizil, A.
- Affiliations
- Stanford University (US)
- Cornell University (US)
- Corresponding author
- Fawcett, Tom
- ORCID
- Fawcett, Tom
- Venue
- Machine Learning
- Published
- 2007-05-15
- Volume
- 68
- Issue
- 1
- Pages
- 97-106
- ISSN
- 0885-6125 (ISSN-L)
- 1573-0565
- OpenAlex
- W2166290812
- Cited by
- 109
- References
- 13
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 4 · 2023: 5 · 2022: 2 · 2021: 7 · 2020: 4 · 2019: 5 · 2018: 5 · 2017: 7 · 2016: 11 · 2015: 6 · 2014: 6 · 2013: 11 · 2012: 9
- FWCI
- 5.52
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Machine Learning (publishedVersion)
- Funders
- National Science Foundation (0412930)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Imbalanced Data Classification Techniques
- Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning and Data Classification
- Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning and Algorithms
- Keywords
- classifier calibration, isotonic regression, pool-adjacent-violators algorithm, probability estimation
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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