A Comparison of MCC and CEN Error Measures in Multi-Class Prediction

Giuseppe Jurman, Samantha Riccadonna and Cesare Furlanello

PLOS ONE, 2012, vol. 7, issue 8, 1-8

Abstract: We show that the Confusion Entropy, a measure of performance in multiclass problems has a strong (monotone) relation with the multiclass generalization of a classical metric, the Matthews Correlation Coefficient. Analytical results are provided for the limit cases of general no-information (n-face dice rolling) of the binary classification. Computational evidence supports the claim in the general case.

Date: 2012
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Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0041882

DOI: 10.1371/journal.pone.0041882

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