R help - Nov 2022 - test logistic regression model

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 G?bor Malomsoki <gmalomsoki1980 at
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
>
>         [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at 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.
>
	[[alternative HTML version deleted]]

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.4567 at 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 G?bor Malomsoki <gmalomsoki1980 at
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
>>
>>         [[alternative HTML version deleted]]
>>
>> ______________________________________________
>> R-help at 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.
>>
>
	[[alternative HTML version deleted]]