Definition
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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Ting, K.M. (2016). Confusion Matrix. In: Sammut, C., Webb, G. (eds) Encyclopedia of Machine Learning and Data Mining. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7502-7_50-1
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DOI: https://doi.org/10.1007/978-1-4899-7502-7_50-1
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