publication . Bachelor thesis . 2017

Building Customer Churn Prediction Models in Fitness Industry with Machine Learning Methods

Shan, Min;
Open Access English
  • Published: 01 Jan 2017
  • Publisher: Umeå universitet, Institutionen för datavetenskap
  • Country: Sweden
Abstract
With the rapid growth of digital systems, churn management has become a major focus within customer relationship management in many industries. Ample research has been conducted for churn prediction in different industries with various machine learning methods. This thesis aims to combine feature selection and supervised machine learning methods for defining models of churn prediction and apply them on fitness industry. Forward selection is chosen as feature selection methods. Support Vector Machine, Boosted Decision Tree and Artificial Neural Network are used and compared as learning algorithms. The experiment shows the model trained by Boosted Decision Tree de...
Subjects
free text keywords: Engineering and Technology, Teknik och teknologier
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