Utilization of Prediction Data for Prospective Decision Customers Insurance Using the Classification Method of C.45 and Naive Bayes Algorithms
Saruni Dwiasnati, Yudo Devianto · Journal of Physics Conference Series · 2019
Prospective Insurance Customers are one or several who buy physical products with various variables used in their determination such as price, quality, quantity of the products, places and services that can be provided based on results to achieve the desired results.Customers are differentiated into individual customers or group customers who buy physical products with various variables used in their determination such as price, quality, quantity of the product, place and service that can be provided based on results to achieve the desired results.Data mining is is based on the process of creating a patterned pattern in the future and for the information provided by the data provided by the data.The research we conducted uses the C45 Algorithm and the Naive Bayes Algorithm using the Sex, Marital, Age, Region, Job and Description Indicators.This research uses Rapidminner tools as a medium to test the data being carried out.