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

作者：Manuel Fernández-Delgado, Eva Cernadas, Senén Barro, AmorimDinani · 发表于：Journal of Machine Learning Research · 年份：2014 · DOI：10.5555/2627435.2697065 · 被引用次数：2187 · 研究领域：Data Mining Algorithms and Applications

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