[R] SVM Prediction and Plot

[Brian]

There are a good few blanks in some variables in the data. There were in the
training set too. Is that a problem? I don't have any na.action in my svm
call either. 

So na.omit=na.fail causes this error:
Error in na.fail.default(newdata) : missing values in object

I tried the matrix. 
>SvmPred = predict(Svm, as.matrix(BankTest[,-1]))
Error in scale.default(newdata[, object$scaled, drop = FALSE], center =
object$x.scale$"scaled:center",  : 
  length of 'center' must equal the number of columns of 'x'

Also is.matrix fails for BankTest so it isn't actually a matrix. Not sure it
matters though. The prediction is actually working somewhat, but it only
predicts for 2282 cases instead of 2598.



P.s. I do have the probability set to TRUE in the Svm call already.
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