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Evaluation of pattern classifiers — Testing the significance of classification efficiency using an exact probability technique

Authors
Journal
Pattern Recognition Letters
0167-8655
Publisher
Elsevier
Publication Date
Volume
17
Issue
11
Identifiers
DOI: 10.1016/0167-8655(96)00070-0
Keywords
  • Decision Functions
  • Classifier Evaluation
  • Significance Testing

Abstract

Abstract The significance of efficiency of a two-class classifier can be tested using the Fisher exact probability test. This paper gives a theoretical justification for a generalisation of the procedure to multiclass problems and describes a practical methodology for it.

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