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eve (version 1.0)

m2two: Conversion of a multicass confusion matrixto a single binary confusion matrix

Description

This function converts a multiclass confusion into a single binary confusion matrix.

Usage

m2two(mmat)

Value

This function returns a 2 x 2 confusion matrix which can be used for evaluating a classifier.

Arguments

mmat

a square numerical-valued confusion matrix.

Author

Doulaye Dembele

References

A.K. Jain and R. Dubes. Algorithms for Clustering Data.
Prentice Hall, Englewood, New Jersey, 1988.

N.X. Vinh, J. Epps and J. Bailey. Information Theoretic Measures for Clusterings Comparison: Variants, Properties, Normalization and Correction for Chance.
J Mach Learn Res, 2010, v11 pp2837-2854.

Dembele D. (2025), The Eigenvalues Entropy as a Classifier Evaluation Measure. arXiv:2511.01904

Examples

Run this code
   mmat <- matrix(c(50,0,0,0,35,15,0,7,34), ncol=3)
   m2two(mmat)

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