Do we need hundreds of classifiers to solve real world classification problems
Manuel Fernández-Delgado, Eva Cernadas, Senén Barro, AmorimDinani · 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,...