Employee Turnover Prediction Model for Garments Organizations of Bangladesh Using Machine Learning Technique

Garments and textile industry is one of the vital organizations in the modern world. In the world market, Bangladesh is the second largest manufacturer and supplier of clothing industry. Bangladesh has been facing many problems in the clothing industry. Employee turnover means to leave manpower from existing organization to another in the sake of better opportunity, better salary and so on. For this reason, organization faces many problems because of employee turnover. So there need a system or model that can predict the employee turnover rate and help the organization to take necessary step to stop employee turnover by providing necessary demands of employees. In this research, several machine learning algorithms are used to predict the turnover of employee. Among them 98% accuracy has been achieved with the Random Forest and an accuracy of 92% has been achieved with the Gradient Boosting classifier.