Prognostication of the placement of students applying machine learning algorithms

Abstract

Placement is the process of connecting the selected candidate with the employer. Every student might have a dream of having a job offer when he or she is about to complete her course. All educational institutions aim at having their students well placed in good organizations. The reputation of any institution depends on the placement of its students. Hence, many institutions try hard to have a good placement cell. Classification using machine learning may be utilized to retrieve data from the student-databases. A prediction model that can foretell the eligibility of the students based on their academic and extracurricular achievements is proposed. Related data was collected from many institutions for which the placement-prediction is made. This paradigm is being weighed up with the existing algorithms, and findings have been made regarding the accuracy of predictions. It was found that the proposed algorithm performed significantly better and yielded good results.