INS and diabetes mellitus: More specifically, regarding the diabetes use case, it is observed that the most suitable algorithm, in terms of the accuracy parameter, is LR with a percentage equal to 77%, given that the number of correct predictions (insulin administration) divided by the total number of predictions are correctly defined.