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


3 Figures and Tables


Citations per Year

125 Citations

Semantic Scholar estimates that this publication has 125 citations based on the available data.

See our FAQ for additional information.

Cite this paper

@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} }