GLM: What is a good way for dealing with new factor levels in the test set?
Hi thuksu, Would defining the factor in your training set with all the levels that occur in the test set solve the problem? That is, there would be at least one factor level in the training set even though there were no instances of that factor. Jim
On Thu, Apr 30, 2015 at 8:05 AM, thuksu <toby at huksu.com> wrote:
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.
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