Classification trees use the Gini index, whereas the regression trees use sum of
squared errors. They are "hard-wired" into the C/Fortran code, so not
easily changeable.
Best,
Andy
-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org]
On Behalf Of Cheng, Chuan
Sent: Monday, September 30, 2013 6:30 AM
To: 'R-help at r-project.org'
Subject: [R] Split type in the RandomForest package
Hi guys,
I'm new to Random Forest package and I'd like to know what type of split
is used in the package for classification? Or can I configure the package to use
different split type (like simple split alongside single attribute axis or
linear split based on several attributes etc..)
Thanks a lot!
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