Ensemble Learning Methods

posted Sep 13, 2012, 5:54 PM by Unknown user   [ updated Sep 17, 2012, 12:00 AM ]

We touched briefly on ensemble learning methods in class today. Tutorial 4a and 4b have been added to the tutorials sections of the site. Each provides an introduction and tutorial on random forest and boosting ensemble learning methods respectively. In the class, I introduced the 'decision stump' as a tree with one split and explained how this is a type of weak classifer. Boost methods typically use weak classifiers. In general, random forest methods use full decision trees.