Às 15:29 de 20/11/2022, Gábor Malomsoki escreveu:
Dear Bert,
Yes, was trying to fill the not existing categories with NAs, but the
suggested solutions in stackoverflow.com unfortunately did not work.
Best regards
Gabor
Bert Gunter <bgunter.4...@gmail.com> schrieb am So., 20. Nov. 2022, 16:20:
You can't predict results for categories that you've not seen before
(think about it). You will need to remove those cases from your test set
(or convert them to NA and predict them as NA).
-- Bert
On Sun, Nov 20, 2022 at 7:02 AM Gábor Malomsoki <gmalomsoki1...@gmail.com>
wrote:
Dear all,
i have created a logistic regression model,
on the train df:
mymodel1 <- glm(book_state ~ TG_KraftF5, data = train, family =
"binomial")
then i try to predict with the test df
Predict<- predict(mymodel1, newdata = test, type = "response")
then iget this error message:
Error in model.frame.default(Terms, newdata, na.action = na.action, xlev =
object$xlevels)
Factor "TG_KraftF5" has new levels
i have tried different proposals from stackoverflow, but unfortunately
they
did not solved the problem.
Do you have any idea how to test a logistic regression model when you have
different levels in train and in test df?
thank you in advance
Regards,
Gabor
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hello,
What exactly didn't work? You say you have tried the solutions found in
stackoverflow but without a link, we don't know which answers to which
questions you are talking about.
Like Bert said, if you assign NA to the new levels, present only in
test, it should work.
Can you post links to what you have tried?
Hope this helps,
Rui Barradas
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