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

      Fernández Delgado, Manuel; Cernadas García, Eva; Barro Ameneiro, Senén; Amorim, Dinani Gomes (Journal of Machine Learning Research, 2014)
      We evaluate 179 classifiers arising from 17 families (discriminant analysis, Bayesian, neural networks, support vector machines, decision trees, rule-based classifiers, boosting, bagging, stacking, random forests and other ...





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