Encyclopedia of Machine Learning

2010 Edition
| Editors: Claude Sammut, Geoffrey I. Webb

Confusion Matrix

  • Kai Ming Ting
Reference work entry
DOI: https://doi.org/10.1007/978-0-387-30164-8_157


A confusion matrix summarizes the classification performance of a  classifier with respect to some  test data. It is a two-dimensional matrix, indexed in one dimension by the true class of an object and in the other by the class that the classifier assigns. Table 1 presents an example of confusion matrix for a three-class classification task, with the classes A, B, and C.
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Copyright information

© Springer Science+Business Media, LLC 2011

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  • Kai Ming Ting

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