An Optimize Weights Naïve Bayes Model for Early Detection of Diabetes

This research proposes a method to optimize the accuracy of Naïve Bayes (NB) model by optimizing weight using genetic algorithm (GA). The process giving optimal is carried out when data will be input into analysis NB. stages were conducted preprocessing data, searching for classic naïve model, weight, applying hybrid and as final stage, evaluating model. results showed an increase in proposed where classical produced rate 87.69% increased 88.65% after optimization GA. study conclude that can classification early detection diabetes.