[R] randomForest: more than one variable needed?
hhan at cse.psu.edu
Tue Apr 13 17:49:32 CEST 2004
I agree with you about the less practical meaning of this sample of
the extreme case. I am just curious about the "grammar" syntax of
On Tue, Apr 13, 2004 at 05:29:06PM +0200, Philippe Grosjean wrote:
> 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?
> 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?
> 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
> R-help at stat.math.ethz.ch mailing list
> PLEASE do read the posting guide!
Department of Computer Science and Engineering,
The Pennsylvania State University
University Park, PA,16802
email: hhan at cse.psu.edu
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