Placement prediction using various machine learning models and their efficiency comparison| International Journal of Innovative Science and Research Technology

Placement Prediction using Various Machine Learning Models and their Efficiency Comparison

Authors : Irene Treesa Jose, Daibin Raju, Jeebu Abraham Aniyankunju, Joel James, Mereen Thomas Vadakkel

Volume/Issue : Volume 5 - 2020, Issue 5 - May

Google Scholar : http://bitly.ws/9nMw

Abstract : A placement predictor is to be designed to calculate the possibility of a student being placed in a company, subject to the criterion of the company. The placement predictor takes many parameters which can be used to assess the skill level of the student. While some parameters are taken from the university level, others are obtained from tests conducted in the placement management system itself

Keywords : Classifications, Dataset, Machine learning, Placement.

A placement predictor is to be designed to calculate the possibility of a student being placed in a company, subject to the criterion of the company. The placement predictor takes many parameters which can be used to assess the skill level of the student. While some parameters are taken from the university level, others are obtained from tests conducted in the placement management system itself

Keywords : Classifications, Dataset, Machine learning, Placement.

Video Explanation for Published paper

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.