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ML
2006
ACM
109views Machine Learning» more  ML 2006»
13 years 5 months ago
Cost curves: An improved method for visualizing classifier performance
Abstract This paper introduces cost curves, a graphical technique for visualizing the performance (error rate or expected cost) of 2-class classifiers over the full range of possib...
Chris Drummond, Robert C. Holte
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...
ICML
2005
IEEE
14 years 6 months ago
Optimizing abstaining classifiers using ROC analysis
Classifiers that refrain from classification in certain cases can significantly reduce the misclassification cost. However, the parameters for such abstaining classifiers are ofte...
Tadeusz Pietraszek
ICML
2004
IEEE
13 years 11 months ago
Optimising area under the ROC curve using gradient descent
This paper introduces RankOpt, a linear binary classifier which optimises the area under the ROC curve (the AUC). Unlike standard binary classifiers, RankOpt adopts the AUC stat...
Alan Herschtal, Bhavani Raskutti