Variable Selection Using Random Forests in SAS®

rates that compare favorably to Adaboost (short for “Adaptive Boosting”). Proposed by Freund and Schapire in 1996, Adaboost is a practical boosting algorithm focusing on classification problems and aims to create a strong classifier by converting a set of weak classifiers.

Loading..

Tags:

  Using, Forest, Selection, Adaptive, Variable, Random, Variable selection using random forests

Information

Related search queries