Hi users! I am fitting a model with several factor variables as independents using svm. since there are lots of categorical variables,the training and test data sets have been created using dummy.data.frame option from dummies package. I have a factor A in the training data set with 2 levels (0,1).In the test set, this factor A has only 1 level (1) and hence when applying dummy.data.frame, the variable gets dropped(and that's how i want it too). The problem comes when I am trying to predict the test data as an error is thrown saying A0 object is not found. Is there anyway to solve this problem?
Thanks Divya -- View this message in context: http://r.789695.n4.nabble.com/handling-constant-factors-in-prediction-using-svm-tp3870093p3870093.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.
