articleJournal of Machine Learning ResearchJan 1, 2014Closed access

Do we need hundreds of classifiers to solve real world classification problems

Abstract

We evaluate 179 classifiers arising from 17 families (discriminant analysis, Bayesian, neural networks, support vector machines, decision trees, rule-based classifiers, boosting, bagging, stacking,...

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2,178
total citations
FWCI
275.66
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100%
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Authors

4

Topics & keywords

Keywords
  • Computer science
  • Artificial intelligence
  • Machine learning
UN Sustainable Development Goals
  • Reduced inequalities
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