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A Multi-dimensional Measure Function for Classifier Performance
2004 (English)Conference paper (Refereed) Published
Abstract [en]

Evaluation of classifier performance is often based on statistical methods e.g. cross-validation tests. In these tests performance is often strongly related to or solely based on the accuracy of the classifier on a limited set of instances. The use of measure functions has been suggested as a promising approach to deal with this limitation. However, no usable implementation of a measure function has yet been presented. This article presents such an implementation and demonstrates its usage through a set of experiments. The results indicate that there are cases for which measure functions may be able to capture important aspects of the evaluated classifier that cannot be captured by cross-validation tests.

Place, publisher, year, edition, pages
Varna, Bulgaria: IEEE , 2004.
Keyword [en]
classifier, performance, cross-validation, data mining, machine learning, multi-dimensional, measure function, evaluation
National Category
Computer Science
URN: urn:nbn:se:bth-8860DOI: 10.1109/IS.2004.1344802ISI: 000223848200090Local ID: 0-7803-8278-1OAI: diva2:836616
2nd IEEE International Conference on Intelligent Systems
Copyright © 2004 IEEE. Reprinted from the proceedings of the 2nd IEEE international conference on intelligent systems 2004. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of BTH's products or services Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by sending a blank email message to By choosing to view this document, you agree to all provisions of the copyright laws protecting it.Available from: 2012-09-18 Created: 2007-12-22 Last updated: 2015-06-30Bibliographically approved

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ReferencesLink to record
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