Comparing Performance of Multiclass Classification Systems with ROC Manifolds: When Volume and Correct Classification Fails

DOI10.1080/03610918.2013.794284zbMath1320.62151OpenAlexW2091142688MaRDI QIDQ5252863

Christine M. Schubert, Tobias Guennel

Publication date: 3 June 2015

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2013.794284

zbMATH Keywords

sensitivityROC curvespecificityBayes costVUSROC manifoldYouden's indexvolume under the surface

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Nonparametric estimation (62G05)

Cites Work

• Estimation of the diagnostic threshold accounting for decision costs and sampling uncertainty
• ROC analysis with multiple classes and multiple tests: methodology and its application in microarray studies
• The ROC manifold for classification systems
• Multiple-event forced-choice tasks in the theory of signal detectability
• ROC Graphs for Assessing the Ability of a Diagnostic Marker to Detect Three Disease Classes with an Umbrella Ordering

This page was built for publication: Comparing Performance of Multiclass Classification Systems with ROC Manifolds: When Volume and Correct Classification Fails