Abstract:

An organization's success heavily relies on its employees, who are considered its foundation. The departure of skilled, capable, and knowledgeable personnel for better prospects can have serious implications for businesses. By uncovering the sources of employee dissatisfaction, organizations can take necessary measures to reduce turnover rates. The status of employee attrition i.e whether the employee departs the organisation, can be determined by using an employee attrition prediction system. This system can be beneficial for HRM teams, who can use it to plan for future employee hiring or to devise strategies to reduce the attrition rate. The prediction is made using machine learning techniques, which take into account various factors such as the work environment, career satisfaction, employee behavior, working hours, and most importantly, income or incentives.

Description:

Employee attrition, Logistic Regression, Decision tree, KNN, SVM, Random Forest