Hi
I am trying to fit an svm to predict speech recognition errors. I am
using best.svm like this:
svm.model = best.svm(data[1:3000,1:23],data[1:3000,24],tunecontrol =
tune.control())
I got this:
print(svm.model)
Call:
best.svm(x = data[1:3000, 1:23], tunecontrol = tune.control(),
Stephen:
you need to supply the parameter ranges, your call did not tune anything
at all.
best.svm() is really just a wrapper for tune.svm(...)$best.model. The
help page for 'tune()' will tell you more on the available options.
HTH,
David
[...]
svm.model =
