I am starting to use svm from e1071 and I wonder how exactly
crossvalidation is implemented.
Whenever I run
> svm.model <- svm(y ~ ., data = trainset, cross = 3)
on my data I get dirrerent values for svm.model$MSE e.g.
[1] 0.9517001 1.7069627 0.6108726
[1] 0.3634670 0.9165497 1.4606322
This suggests to me that data are scrambled each time - the last time I
looked at libsvm python interface
this is what was done. Is this the same here (I hope) ?
R
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