Optimal classifier for imbalanced data using Matthews Correlation Coefficient metric

Data imbalance is frequently encountered in biomedical applications. Resampling techniques can be used in binary classification to tackle this issue. However such solutions are not desired when the number of samples in the small class is limited. Moreover the use of inadequate performance metrics, s...

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Veröffentlicht in:	PloS one 2017-06, Vol.12 (6), p.e0177678-e0177678
Hauptverfasser:	Boughorbel, Sabri, Jarray, Fethi, El-Anbari, Mohammed
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Artificial intelligence Automatic classification Bayes Theorem Bayesian analysis Binding sites Bioinformatics Biology and Life Sciences Biomedical materials Classification Classifiers Computational Biology Computer and Information Sciences Computer simulation Consistency Correlation Correlation coefficient Data processing Datasets Efficiency Evaluation Information processing International conferences Methods Models, Theoretical Optimization Performance measurement Physical Sciences R&D Resampling Research & development Research and Analysis Methods RNA-protein interactions Searching Social Sciences Support Vector Machine
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