A Comparative Study of Machine Learning Algorithms for Salary Estimation

Employee recruitment is a main activity of any business for smooth conduction of the companies’ production and competitiveness. Salary is also a motivational key parameter for any employee to fulfill his expectations, according to his qualification and technical skill. Our salary prediction system is aimed at providing better assistance to the college students regarding the salary that they can aspect after completing their course. Not only they will be able to get an idea of their deserving salary but also, they can get to know about the skills that they need to meet their professional goals. This will enhance the motivation of students who are enrolled in higher education institutes and provide better assistance also. Through this paper, we have tried to provide a system for salary prediction in which data mining technique is used. In this system the profile of student will be compared with graduated student. We have used data mining techniques for comparison as they perform best. We have also performed an experiment on student data set using 10-fold cross-validation.