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Data Mining, Boosted Trees - Session 19

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Uploaded on Sep 16, 2009

Session 19 of the Data Mining series discusses the Boosted Trees algorithm for classification. The concept of boosted trees is that the combination of many weak learners, simple trees, can create a strong learner. The boosted Trees tool in STATISTICA builds a large number of very simple decision trees to make its final predictions. This session gives an overview of options for Boosted Trees in STATISTICA and shows a Boosted Trees example using the Credit Scoring data. http://statsoft.com/products/data-min...

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