[R] e1071: Cannot predict probabilities
Mikkel Meyer Andersen
r at mikl.dk
Tue Feb 23 21:29:36 CET 2010
Thanks a lot for making me aware of that SVM-Type. I just thought it
would give a warning or an error if C-classification wasn't used.
The solution in my real case was to make the response variable a
factor, i.e. before I had Y ~ . with Y numeric. If I first converted Y
to a factor, i.e. Y <- factor(Y), then everything went fine.
2010/2/23 Steve Lianoglou <mailinglist.honeypot at gmail.com>:
> On Tue, Feb 23, 2010 at 2:43 PM, Mikkel Meyer Andersen <r at mikl.dk> wrote:
>> Dear list.
>> I using the SVM-methods from the e1071, but I can't get the
>> probabilities when predicting.
>> x <- matrix(rbinom(100, 10, 0.3), ncol=2)
>> y <- apply(x, 1, sum)
>> fit <- svm(y ~ x, method = "C-classification", kernel = "radial",
>> probability = TRUE)
>> predict(fit, x, probability=TRUE)
>> Here predict doesn't containing any probabilities (not as attributes
>> either). Does anybody know what I'm doing wrong or if the package
>> contains any bugs?
> Look at your "fit" object, specifically the SVM-Type and notice that
> you are actually running eps-regression, even though you try to
> specify classification. So the type of "probabilities" you're after
> don't really make sense in regression context.
> A "better" posed problem definition will give you what you're after. I
> mean, by just running your example code, my y vector has 10 different
> (unique) labels (yours maybe different do to your random seed, I
> guess) -- but are you really trying to do 10-way classification?
> Steve Lianoglou
> Graduate Student: Computational Systems Biology
> | Memorial Sloan-Kettering Cancer Center
> | Weill Medical College of Cornell University
> Contact Info: http://cbio.mskcc.org/~lianos/contact
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