期刊名称:International Journal of Advances in Soft Computing and Its Applications
印刷版ISSN:2074-8523
出版年度:2019
卷号:11
期号:2
页码:46-59
出版社:International Center for Scientific Research and Studies
摘要:Customer churn in telecommunication industry is actually a serious issue. The Telco company needs to have a churn prediction model to prevent their customer from moving to another telco. Therefore, the objective of this paper is to propose the customer churn prediction using Pearson Correlation and K Nearest Neighbor algorithm. The algorithm is validated via training and testing dataset with the ratio 70:30. Based on experiment, the result shows that the K Nearest Neighbor algorithm performs well compared to the others with the accuracy for training is 80.45% and testing 97.78%.
关键词:Customer Churn Prediction; Pearson Correlation; Machine Learning; K Nearest Neighbor.