Employee Attrition Prediction Using Machine Learning

Employee Attrition Prediction Using Machine Learning

Nishighandha Manoj Kumavat1,

Computer Engineering S.S.V.P.S. College of Engineering Dhule

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Abstract - Employee attrition is a gradual but intentional reduction in the number of employees in a company or business organization. Employees will at some point in time look to change their job places for a number of reasons. It might be for professional or personal reasons but it does happen.  But it is a diminishing in the number of the workforce due to several factors that are very avoidable. Some forms of attrition are unavoidable, like if an employee is retiring or is moving to another city. But when attrition crosses a particular threshold, it becomes a cause for concern. For example, attrition among minority employee groups could be hurting diversity at your organization. Or, attrition among senior leaders can lead to a significant gap in organizational leadership. Do you know where your company stands on the employee attrition curve? The objective is to analyse the factors that affect employee attrition using previous year's employee's historical data and predict chance of the current employee, whether he could leave the organization. A model is proposed along with an algorithm to predict the chance of employee attrition.

Key Words:  KNN / Random Forest / SVM