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Student Placement Prediction System

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Volume-10 | Issue-5

Last date : 27-Oct-2026

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Student Placement Prediction System


Vishal Rajesh Sonewane



Vishal Rajesh Sonewane "Student Placement Prediction System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Smart Innovations in Computer Science and Applications, March 2026, pp.1338-1349, URL: https://www.ijtsrd.com/papers/ijtsrd102035.pdf

This paper presents an overview of the machine learning techniques that can be used to predict a student’s placement performance. The ability to predicting the performance of a student is a very essential task of all educational institutions. Since this is the task of predicting student’s placement of undergraduate students. This paper can be used to predict the probability of an undergraduate student getting placed by applying different machine learning algorithms. In this system, multilayer perceptron (MLP), logistic model tree (LMT), sequential minimal optimization (SMO), simple logistic, and logistic classifiers are applied to predict student performance. These classifiers independently predict the results and then compare the accuracy of the algorithms, which is based on the data set. After performing analysis on different matrices (time taken to build classifier, correctly classified instances, root mean squared error, incorrectly classified instances, precision, recall, F-measure, ROC area) by different machine learning algorithms, we are able to find which algorithm is performing better than other on the student data set, so that we are able to make a guideline for future improvement of student placement performance in education.

Student Placement Prediction, Machine Learning, Classification, MLP, Logistic Regression, Educational Data Mining, Predictive Analytics, Performance Evaluation.


IJTSRD102035
Special Issue | Smart Innovations in Computer Science and Applications, March 2026
1338-1349
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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