Use of ID3 Decision Tree Algorithm for Placement Prediction

Abstract — Every year corporate companies come to colleges in order to recruit students. Recruitment is one of the most essential processes for any organization as they look for skilled and qualified professionals to fill up the positions in their organization. Many companies hire students through campus recruitment process. Campus recruitment is an efficient way to get the right resources at the right time with minimal cost and within minimum time frame. While the industry hires candidates from different institutes, students too get a chance to start their career with some of the best companies in the corporate sector. The main aim of this paper is to identify relevant attributes based on quantitative and qualitative aspects of a student's profile such as CGPA, academic performance, technical and communication skills and design a model which can predict the placement of a student. For this purpose ID3 classification technique based on decision tree has been used. The result of this analysis will assist the academic planners to design a strategy to improve the performance of students that will help them in getting placed at the earliest