[R] randomForest: more than one variable needed?

[Philippe Grosjean]

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: r-help-bounces at stat.math.ethz.ch
[mailto:r-help-bounces at stat.math.ethz.ch]On Behalf Of Hui Han
Sent: Tuesday, 13 April, 2004 17:16
To: r-help at stat.math.ethz.ch
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: hhan at cse.psu.edu
homepage: http://www.cse.psu.edu/~hhan

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