MATLAB: Where can I find more information about Breiman’s “random forest” method used by TREEBAGGER in Statistics Toolbox 7.1 (R2009a)

breimanclassificationforestrandomregressionStatistics and Machine Learning Toolboxtreebaggertrees

In the R2009a Release Notes of the Statistics Toolbox is stated under section "New Ensemble Methods for Classification and Regression Trees":
 - Option to use Breiman's "random forest" method.
I want to know how I can use this option and what does it mean.

Best Answer

This enhancement has been incorporated in Release 2010a (R2010a). For previous product releases, read below for any possible workarounds:
Breiman's "random forest" method was introduced in Statistics Toolbox 7.1 (R2009a). You get random forest by default from TreeBagger. You do not need to do anything.
"Random forest" means that variables for decision splits are chosen at random for each decision tree. This is what "NVarToSample" option is for and by default it activates random selection of variables. If you want to turn off random forest, you need to set "NVarToSample" to "all".
Additional information about random forest can be found from an internet searching on "breiman random forests"
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