PERBANDINGAN METODE CART DAN NAÏVE BAYES UNTUK KLASIFIKASI CUSTOMER CHURN

Classification is the process of identifying and grouping an object into same group or category can be used to a large-sized dataset, some commonly classification methods are CART (Classification And Regression Tree) Naïve Bayes. This study discusses comparison Bayes by measuring accuracy, precision, recall, f1-score values with 3 scenarios training testing dataset distribution. Accuracy, measurements performed using confusion matrix. The for division 70%, 80%, 90% dataset. From results study, has highest average accuracy 79.616% 57.636% respectively, while 75.104% 62.004% respectively.