# Fast way to tune SVM parameters in R

I have tried to tuned the parameters with the function tune, but it took over 15 hours to tune this (and at that point I had to stop it):

tuned_parameters <- tune.svm(y~.,
data = train_set,
gamma = 10^(-1:2),
cost = 10^(-0.5:1))


My dataset is not even that large (40000 rows x 65 columns)

Do you know a faster way to tune the gamma and cost parameters?