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Educational Institute Future Intake Prediction System Based on Linear SVC

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Educational Institute Future Intake Prediction System Based on Linear SVC


G. Saminath Krisna | Dr. R. Indra Gandhi

https://doi.org/10.31142/ijtsrd11174



G. Saminath Krisna | Dr. R. Indra Gandhi "Educational Institute Future Intake Prediction System Based on Linear SVC" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3, April 2018, pp.978-981, URL: https://www.ijtsrd.com/papers/ijtsrd11174.pdf

All the institutions strive to find a student who is the best possible fit for their institute. They look forward to recruiting students who have the highest potential to succeed. Most of them are looking into their previous scores for making the recruiting decision. That does not always work out well for the institute, because past performance does not always prove future success. A machine learning model could solve this problem. Machine learning algorithms aim to discover hidden knowledge and patterns about student’s performance. Support Vector Clustering is a relatively new learning algorithm that has the desirable characteristics like controlling the decision function, kernel method and sparsity of the solution. In this paper, we present a theoretical and empirical framework to apply the Support Vector Machines for predicting the students future performance in an educational institution. There are many factors like personality, curiosity, past academic performance, etc that are taken into account for predicting the students performance. Our results suggest that support vector clustering is a powerful tool for selecting students in the educational institution.

Educational institute, student performance prediction, predictive models, predictive algorithms and training data


IJTSRD11174
Volume-2 | Issue-3, April 2018
978-981
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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