PAV and the ROC convex hull

Abstract

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… (More)
DOI: 10.1007/s10994-007-5011-0

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@article{Fawcett2007PAVAT, title={PAV and the ROC convex hull}, author={Tom Fawcett and Alexandru Niculescu-Mizil}, journal={Machine Learning}, year={2007}, volume={68}, pages={97-106} }