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. -- View this message in context: http://r.789695.n4.nabble.com/SVM-Prediction-and-Plot-tp3254421p3255323.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
