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    We present an extensive empirical comparison between twenty prototypical supervised ensemble learning algorithms, including Boosting, Bagging, Random Forests, Rotation Forests, Arc-X4, Class-Switch…

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    This repo is my work related to the peer assignment on the Coursera's course : "Data Product".

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