Previously in the series, C&RT and other tree algorithms were discussed for the classification problem. This session uses the regression data, beverage manufacturing, to explore C&RT as well as the other tree algorithms. The options and parameters are reviewed as well as important output. An example analysis is performed in STATISTICA using C&RT. Then the Data Mining Workspace is used to very briefly show the remaining tree tools offered, CHAID, Boosted Trees and Random Forests. http://statsoft.com/products/data-mining-solutions/
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