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
4Topics & keywords
Keywords
- Computer science
- Artificial intelligence
- Machine learning
UN Sustainable Development Goals
- Reduced inequalities
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