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Enhancing Confusion Entropy (CEN) for binary and multiclass classification
Different performance measures are used to assess the behaviour, and to carry out the comparison, of classifiers in Machine Learning. Many measures have been defined on the literature, and among them, a measure inspired by Shannon’s entropy named the Confusion Entropy (CEN). In this work we introduc...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6331113/ https://www.ncbi.nlm.nih.gov/pubmed/30640948 http://dx.doi.org/10.1371/journal.pone.0210264 |