Leveraging Ensemble Models in SAS Enterprise MinerTM
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چکیده
Ensemble models combine two or more models to enable a more robust prediction, classification, or variable selection. This paper describes three types of ensemble models: boosting, bagging, and model averaging. It discusses go-to methods, such as gradient boosting and random forest, and newer methods, such as rotational forest and fuzzy clustering. The examples section presents a quick setup that enables you to take fullest advantage of the ensemble capabilities of SAS Enterprise MinerTM by using existing nodes, Start Groups and End Groups nodes, and custom coding.
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تاریخ انتشار 2014