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ML
2007
ACM

PAV and the ROC convex hull

9 years 3 months ago
PAV and the ROC convex hull
Classifier calibration is the process of converting classifier scores into reliable probability estimates. Recently, a calibration technique based on isotonic regression has gained attention within machine learning as a flexible and effective way to calibrate classifiers. We show that, surprisingly, isotonic regression based calibration using the Pool Adjacent Violators algorithm is equivalent to the ROC convex hull method.
Tom Fawcett, Alexandru Niculescu-Mizil
Added 27 Dec 2010
Updated 27 Dec 2010
Type Journal
Year 2007
Where ML
Authors Tom Fawcett, Alexandru Niculescu-Mizil
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