Student Placement Prediction Using Weka

Abstract

Nowadays, placement is one of the
important activities in educational institutions. The
key role that the educational institution is to
prepare and guide students well through the
placement process by providing them better
training for getting placed in reputed companies.
Best placement service of an institution will also
attract people to take admissions. A placement
prediction system helps to know the possibility of a
student to be placed. Machine learning techniques
like Naïve Bayes and Random forest algorithm are
used for the prediction. These algorithms
independently predict the results based on various
parameters. This technique will also helps to
upgrade the skills of students to meet the eligibility
criteria.