Predicting Employee Attrition with Big Five Personality Involved Using Machine Learning

The paper aims to find whether factors related to personalities can influence the attrition of employees and how important those factors are compared with other factors using a real-world dataset. It also aims to figure out the most suitable machine learning models to predict employee attrition given both objective and subjective factors of the employee. Six machine learning models are applied and evaluated. Random Forest has the best performance given this dataset, and the big five personality plays an important role for the model in making decisions, the position of which is just behind the age and working experience of an employee. These findings provide insights from a different perspective to examine how internal factors of an employee can affect attrition besides external factors like income. At the same time, the result emphasizes the attention to the personality of an employee during the hiring and working process for human resource managers in an organization.