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» Optimizing abstaining classifiers using ROC analysis
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BMCBI
2011
13 years 10 days 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...
BMCBI
2008
148views more  BMCBI 2008»
13 years 5 months ago
StAR: a simple tool for the statistical comparison of ROC curves
Background: As in many different areas of science and technology, most important problems in bioinformatics rely on the proper development and assessment of binary classifiers. A ...
Ismael A. Vergara, Tomás Norambuena, Evandr...
GECCO
2006
Springer
173views Optimization» more  GECCO 2006»
13 years 9 months ago
Sets of receiver operating characteristic curves and their use in the evaluation of multi-class classification
Within the last two decades, Receiver Operating Characteristic (ROC) Curves have become a standard tool for the analysis and comparison of classifiers since they provide a conveni...
Stephan M. Winkler, Michael Affenzeller, Stefan Wa...
ICPR
2010
IEEE
13 years 9 months ago
ROC Analysis and Cost-Sensitive Optimization for Hierarchical Classifiers
Pavel Paclik, Carmen Lai, Thomas Landgrebe, Robert...
JMLR
2006
134views more  JMLR 2006»
13 years 5 months ago
Considering Cost Asymmetry in Learning Classifiers
Receiver Operating Characteristic (ROC) curves are a standard way to display the performance of a set of binary classifiers for all feasible ratios of the costs associated with fa...
Francis R. Bach, David Heckerman, Eric Horvitz