The Application of the Decision Tree Algorithm Based on K-means in Employee Turnover Prediction

Abstract

The employee's voluntary turnover is one of the most difficult problems for the company. The research uses a human resource data as an example. K-means is used to classify employees, and then each type of the decision tree algorithm is used to conduct prediction and analysis of turnover. After research and analysis according to the experimental results, the two types of employees with high turnover rate are analyzed, and the management is provided with measures to prevent the occurrence of some acts of turnover.