Bagged classification trees / tree ensembles

A statistical technique that creates an ensemble by drawing sub-samples from the original sample. A decision tree is trained using the permutations, and each tree becomes a member of the ensemble. This method is meant to enhance the accuracy of unstable decision-tree learning methods. “Bagged” is an abbreviation of the employed method of “bootstrap aggregation.”

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