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A Comparison of MCC and CEN Error Measures in Multi-Class Prediction
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 d...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2012
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3414515/ https://ncbi.nlm.nih.gov/pubmed/22905111 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0041882 |
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