Employee Attrition Model Using Machine Learning Approach

Computer Engineering

Employee attrition is a problem faced by many organizations, with many experienced, technical and valuable employees leaving the organization every day. The achievements and shortcomings of the organization relies upon employees who work for the business enterprise. When a productive employee leaves the organization, it results in huge financial loss and to recruit new employee’s organization has to spend a lot of time. This leaves difficulty for Human Resource Manager (HRM) to choose the right and talented employee which suits for that particular job role. The primary concept of our model is to attain the effectiveness of the evaluation and the employee satisfaction within the enterprise, which can help lessen worker turnover. So, in this model various machine learning techniques such as Logistic Regression (LR), Decision Tree (DT), Random Forest (RF), Support Vector Classifier (SVC) applied on data. This model will help organizations to know hidden reasons for employee attrition and accordingly management can take preventive measures which leads to economic growth.

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