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: [email protected] [mailto:[email protected]] On Behalf Of Cheng, Chuan Sent: Monday, September 30, 2013 6:30 AM To: '[email protected]' 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! [[alternative HTML version deleted]] ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. Notice: This e-mail message, together with any attachme...{{dropped:11}} ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
