 
  hi,
  for doing cross validation you can add this arguement (cross=10) to your function as one way:
  m=svm(x,y, cross=10)
  summary(m)
  Of course you can have k-fold cross validation. So you would have cross=k.
  for plotting: you need plot.svm() method. The following file could help you more:
  http://cran.r-project.org/doc/packages/e1071.pdf
  cheers
  Amir
   
  

karthi keyan <gkkarthikeyann@gmail.com> wrote:
  Hi
My name is karthikeyan.

I am using svm in R for my data set.

my data set contain 60 finance ratio as variables and i want to classify
into group of good and bad.

I want to know how to do the crossvalidation for the svm .

first i am doing modelling and i am predict and i am calculating the
probabilities

how can i do the cross validation and how can i plot the svm for this
variables

waiting for your reply

thanking you

karthik

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