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Many of the best classifiers are ensemble methods such as bagging, random forests, boosting, and Bayes model averaging. We give conditions under which each of these four classifiers can be regarded as a Bayes classifier. We also give conditions under which stacking achieves the minimal Bayes risk.We compare the four classifiers with a logistic regression classifier to assess the cost of interpretability...
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