A Comparative Study for Employee Churn Prediction

Employees are one of the most critical elements of companies. Unexpected employee turnover causes a huge cost for companies. The new recruitment process not only consumes money and time, but it also takes time for newly hired employees to contribute effectively. In this study, we did an employee churn analysis that predicts whether the employees will leave their current company. Within the study's scope, we have trained standard and sequential models, then compared the models' successes. In the end, we have created an ensemble model from successful models. This study, which is carried out with sample Kaggle data, can be used as a preliminary for studies to be done with real employee data.