A set of diabetes classifiers written for an AI assignment
The dataset for this assignment is the Pima Indian Diabetes dataset. It contains 768 instances described by 8 numeric attributes. There are two classes ‐ yes and no. Each entry in the dataset corresponds to a patient’s record; the attributes are personal characteristics and test measurements; the class shows if the person shows signs of diabetes or not. The patients are from Pima Indian heritage, hence the name of the dataset.
Naïve Bayes, Decision Tree and 10‐fold stratified cross‐validation were implemented