I have used glm
on the learning data set which without NA
s has 49511 observations.
glmodel<-glm(RESULT ~ ., family=binomial,data
You used the wrong parameter name in predict
. It should be newdata=
, not data=
. So the reason you get 49511 elements is that the default for predict
when you don't specify new data is to output the predicted values for the data you created the model with. Hence you're getting the predicted values for your original data.