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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?

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