Is it possible to compare probabilities of 2 logistic different models? For example if I have one model that returns the probability that someone answer a phone call on Mondays, and then I have another model for Tuesday, and another for Wednesday and so on... Then for the same input I run the first model and I get that the probability for that person of being contacted is .8 while for the model of Tuesdays is .6 and the for the rest of the days is also less than 0.8. Would it be ok to compare those, and say that is more probable to contact this person on Tuesdays or those probabilities are not comparable?
I think that they are not because those models might have for example different error rates. If this is the case, how would you do a model that gives you do the best time to contact someone? I would really appreciate some light in this subject. thanks