The determination of copayments that patients will pay at a pharmacy is a complicated process. Pharmacies, insurance companies, drug companies, etc., are involved, and patients cannot make an expectation of how much they will pay or if their claim will be accepted.

Using the data provided by CoverMyMeds and machine learning techniques, we try to solve this problem. We developed a model for making predictions on the amount of copay. We also try to predict if the claim will be rejected or not.