I don't see much why to use random forest with only one predictive variable! Recall that random forest grow trees with a random subset of variables "in competition" for growing each node of the trees in the forest... How do you make such a random subset with only one predictive variable? there is no point here!
Philippe Grosjean -----Original Message----- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] Behalf Of Hui Han Sent: Tuesday, 13 April, 2004 17:16 To: [EMAIL PROTECTED] Subject: [R] randomForest: more than one variable needed? Hi, I am doing feature selection for my dataset. The following is the extreme case where only one feature is left. But I got the error below. So my question is that do I have to use more than one features? sample.subset udomain.edu hpclass 1 -1.0 not 2 -1.0 not 3 -0.2 not 4 1.0 hp 5 1.0 hp > randomForest(hpclass ~., data=sample.subset, importance=TRUE); Error in if (n == 0) stop("data (x) has 0 rows") : argument is of length zero Best regards, Hui Han Department of Computer Science and Engineering, The Pennsylvania State University University Park, PA,16802 email: [EMAIL PROTECTED] homepage: http://www.cse.psu.edu/~hhan ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html