Hello, I am trying to predict the classes of a test data set after training an rpart tree. When I run: predict(rpart_object_based_on_training_data, newdata = "testdata", type = "class", na.action = na.pass) I get an error message saying that a variable that is present in both training and test data sets has new levels in the test set. This is true that there are new levels for some of the variables in the test set, although, the variables themselves are identical in both. My understanding from reading the documentation on predict.rpart is that if one of the facor-variables does have new levels in the test set, it is passed through the tree and is left at the deepest possible node. I tried to run predict.rpart directly but it says "function not found". Does this have to be installed separately? I have loaded the rpart library to run the training data. I have not found this exact situation in the Archives.
Thankyou Kamakshi -- [EMAIL PROTECTED] ______________________________________________ [email protected] 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.
