[R] Split type in the RandomForest package

Liaw, Andy andy_liaw at merck.com
Wed Nov 20 19:19:06 CET 2013

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.


-----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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