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ICPR
2010
IEEE
13 years 4 months ago
The Binormal Assumption on Precision-Recall Curves
—The precision-recall curve (PRC) has become a widespread conceptual basis for assessing classification performance. The curve relates the positive predictive value of a classi...
Kay Henning Brodersen, Cheng Soon Ong, Klaas Enno ...
BMCBI
2011
12 years 11 months ago
pROC: an open-source package for R and S+ to analyze and compare ROC curves
Background: Receiver operating characteristic (ROC) curves are useful tools to evaluate classifiers in biomedical and bioinformatics applications. However, conclusions are often r...
Xavier Robin, Natacha Turck, Alexandre Hainard, Na...
ICPR
2006
IEEE
14 years 5 months ago
Precision-recall operating characteristic (P-ROC) curves in imprecise environments
Traditionally, machine learning algorithms have been evaluated in applications where assumptions can be reliably made about class priors and/or misclassification costs. In this pa...
Thomas Landgrebe, Pavel Paclík, Robert P. W...