Implementation of Naive Bayes Classifier (N.B.C.) on Chicken Egg Classification

Abstract

Egg quality has a significant impact on sales; However, many poultry farmers are still not paying attention to the effects of egg quality. This study aims to predict the quality of broiler eggs worth selling or not—classified by the Naive Bayes algorithm with the input variable (X). These factors affect the quality of chicken eggs in the form of 5 variables X and Y in chicken egg sales conditions. The data used are 215 data. The results show that the Naive Bayes model produces an accuracy of 86,7%.