I've had the same problem and solved it by removing the cases with the new levels - they need to be handled some other way, either by building a new model or reassigning the factor level to one in the training set.
Nagu wrote: > > Hi, > > I get the following error when I try to predict the probabilities of a > test sample: > > Error in predict.randomForest(fit.EBA.OM.rf.50, x.OM, type = "prob") : > New factor levels not present in the training data > > I have about 630 predictor variables in the dataset x.OM (25 factor > variables and the remaining are continuous variables). Any ideas on > how to trace it? > > Thank you, > Nagu > > ______________________________________________ > 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. > > -- View this message in context: http://www.nabble.com/error-in-random-forest-tp15904235p15922797.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.
