Hi
I am facing an error after using ksvm() and/or svm() when I can call predict()
it is giving me the error:
Error in .local(object, ...) : test vector does not match model !
My dimentions of trainingset is 134 x 95 and validationset is 66 x 94
sample code of prediction:
model.ksvm = ksvm(as.factor(Disposition) ~ ., data = trainingset, kernel =
"rbfdot", kpar = list(sigma=0.05), C = 5, cross = 3)
pred_valid = predict(model.ksvm, validationset, type = "decision")
thanks
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