I am looking for ideas on how to proceed with a situation. I have historical data of appointments for many users. I can (easily) predict their future behaviour (whether the next appointment will be positive or not)/
I now need to build profiles, i.e., classify a user as "good" or "bad" user. So, I won't be predicting future appointments, but just say "this user is a good/bad user", and then compare with, e.g., a monthly behaviour.
Any ideas where I could look for information on how to proceed?
I apologize for my vague first question. I will try to be more clear.
I have ~200k users, with their doctor appointment history. As demographic, I only have their age and gender. The rest of the variables relate to their appointment: time of the appointment, which doctor (service), day of the appointment, and so on. I also have whether they went or not to the appointment (show / no show).
The assignment consist on classifying the users as "good" or "bad", i.e., whether they will go or not to the appointment. I do not have to predict if they will go to the next appointment, just to have a list of the users classification. By doing this, if user A, whom I classified as "good", calls for an appointment, I know he is "good" and he will make it to the appointment. I do not to take any action on him.
Again, I do not have to predict future appointments, or the behavior of a new user, just to classify the existing ones.
I hope now it is a bit more clear. If not, let me know. Thank you!
I know perhaps the information I am giving is a bit vague, but I didn't know if to go into full detail or not. If you want me to share more info, just let me know.