Search results with tag "Variable selection using random forests"

Variable Selection Using Random Forests in SAS®

Variable Selection Using Random Forests in SAS® Denis Nyongesa, Kaiser Permanente Center for Health Research ABSTRACT Random forests are an increasingly popular statistical method of classification and regression. The method was introduced by Leo Breiman in 2001. A good prediction model begins with a great feature selection process.

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