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Automatic classification methods have been developed in the area of Machine Learning to facilitate the categorization of data. Among the most successful methods are Boosting and Bagging. While Bagging works by combining fit classifiers into the bootstrap samples, Boosting works by sequentially applying a sorting algorithm to reweigh versions of the training dataset, giving more weight to the erroneously...
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