Implementation of Machine Learning Algorithms for Customer Churn
Prediction
Manal Loukili,
Fayçal Messaoudi,
Raouya El Youbi
Abstract:Churn prediction is one of the most critical issues in the telecommunications industry. The possibilities of predicting churn have increased considerably due to the remarkable progress made in the field of machine learning and artificial intelligence. In this context, we propose the following process which consists of six stages. The first phase consists of data preprocessing, followed by feature analysis. In the third phase, the selection of features. Then the data was divided into two parts: the training set… Show more
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