Analysis and Prediction of Employee Turnover Characteristics based on Machine Learning

Abstract

Employee turnover indicates the staff decides to leave the company. Along with the fast development of economic and industries, employee turnover phenomenon becomes popular gradually in recent years. On one hand, the staff decides to leave the company due to various reasons. On the other hand, staff retention and job stability impact the normal operation of the company. Companies need to grasp the major factors of employee turnover, and then take relevant measures to deal with this problem. This paper employs machine learning technique to sort out the characteristics of employee turnover. Furthermore, we adopt GBDT algorithm and LR algorithm to fit the characteristic model which influences employee turnover. Finally, this paper implements the employee turnover prediction in realistic companies, which provides an effective reference for companies to reduce the turnover rate of employees.