When is the area under the receiver operating characteristic curve an appropriate measure of classifier performance?
- 1 April 2013
- journal article
- Published by Elsevier in Pattern Recognition Letters
- Vol. 34 (5) , 492-495
Abstract
No abstract availableKeywords
This publication has 8 references indexed in Scilit:
- Assessing the Performance of Classification MethodsInternational Statistical Review, 2012
- Evaluating diagnostic tests: The area under the ROC curve and the balance of errorsStatistics in Medicine, 2010
- Measuring classifier performance: a coherent alternative to the area under the ROC curveMachine Learning, 2009
- The partial area under the summary ROC curveStatistics in Medicine, 2005
- On Bias, Variance, 0/1—Loss, and the Curse-of-DimensionalityData Mining and Knowledge Discovery, 1997
- The Area under the ROC Curve and Its CompetitorsMedical Decision Making, 1991
- Analyzing a Portion of the ROC CurveMedical Decision Making, 1989
- A family of nonparametric statistics for comparing diagnostic markers with paired or unpaired dataBiometrika, 1989