My training set and my test set have some factor levels that are different.... It's rare, but it occurs.
What is a good way for dealing with this? I don't want to throw away the entire row from the data frame, because there is some valuable information in there. Is there some way to say something like "use the weighted average coefficient level for this factor"? -- View this message in context: http://r.789695.n4.nabble.com/GLM-What-is-a-good-way-for-dealing-with-new-factor-levels-in-the-test-set-tp4706621.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
