TY - JOUR
T1 - Enhancing Confusion Entropy (CEN) for binary and multiclass classification
AU - Delgado, Rosario
AU - David Núñez-González, J.
PY - 2019/1/14
Y1 - 2019/1/14
N2 - © 2019 Delgado, Núñez-González. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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 introduce a new measure, MCEN, by modifying CEN to avoid its unwanted behaviour in the binary case, that disables it as a suitable performance measure in classification. We compare MCEN with CEN and other performance measures, presenting analytical results in some particularly interesting cases, as well as some heuristic computational experimentation.
AB - © 2019 Delgado, Núñez-González. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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 introduce a new measure, MCEN, by modifying CEN to avoid its unwanted behaviour in the binary case, that disables it as a suitable performance measure in classification. We compare MCEN with CEN and other performance measures, presenting analytical results in some particularly interesting cases, as well as some heuristic computational experimentation.
KW - Algorithms
KW - Breast Neoplasms/classification
KW - Computational Biology/methods
KW - Entropy
KW - Female
KW - Gene Expression Profiling
KW - Humans
KW - Machine Learning
KW - Models, Biological
UR - http://www.scopus.com/inward/record.url?scp=85059880076&partnerID=8YFLogxK
UR - http://www.mendeley.com/research/enhancing-confusion-entropy-cen-binary-multiclass-classification
U2 - https://doi.org/10.1371/journal.pone.0210264
DO - https://doi.org/10.1371/journal.pone.0210264
M3 - Article
C2 - 30640948
VL - 14
IS - 1
M1 - 0210264
ER -