> is ipred:errorest method is good enough for validating (or cross check) my
> svm result?
Yes, if you know what values of the tuning parameters to use, but I don't know
why it was failing.
Max
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thank you so much for your suggestion, i will use caret package
is ipred:errorest method is good enough for validating (or cross check) my
svm result?
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> The caret package has answers to all your questions.
>> 1) How to obtain a variable (attribute) importance using
>> e1071:SVM (or other
>> svm methods)?
I haven't implemented a model-specific method for variables importance
for SVM models. I know of one package (svmpath) that will return the
re
The caret package has answers to all your questions.
> -Original Message-
> From: r-help-boun...@r-project.org
> [mailto:r-help-boun...@r-project.org] On Behalf Of Neeti
> Sent: Tuesday, October 26, 2010 10:42 AM
> To: r-help@r-project.org
> Subject: [R] to dete
hii everyone!!
i have two questions:
1) How to obtain a variable (attribute) importance using e1071:SVM (or other
svm methods)?
2) how to validate the results of svm?
currently i am using the following code to determine the error.
library(ipred)
for(i in 1:20) error.model1[i]<-
errorest(Spec
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