Placement Prediction of Students Using the Data Mining Tool Weka

Abstract

It would be great if some kind of support is
given for students getting ready for the placement
activities. Even though the placement officer provides
much of the support for the students, so as to be
prepared for the placements, it would be great if they
can see where they stand and what are the steps to be
taken to improve the chance of getting placed. There are
certain factors that affect a student’s placement like
previous academic records, backlogs, communication
skill etc.

In this study, student’s data collected have different
information about their previous and current academics
records, so as to predicts the probability of student’s
getting placed in an IT company. In order to get to a
conclusion, we consider the academic history of the
student as well as their skill set like, programming skills,
communication skills and teamwork, which are tested by
the hiring companies during the recruitment process.
And these factors predict the probability of students
getting placed in a company.