UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 5 Issue 6
June-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1806405


Registration ID:
183652

Page Number

143-148

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Title

Prediction Of Students Academic Performance Using Ensemble Methods Through Educational Data Mining

Authors

Abstract

In the last decade Data mining (DM) has been applied in the field of education, and is an emerging interdisciplinary research field also known as Educational Data Mining (EDM). One of the goals of EDM is to better understand how to predict student academic performance analysis of students’ characteristics. Another goal is to identify factors and rules that influence educational academic outcomes. In this paper, we use multiple classifiers (Decision Trees-J48, Naïve Bayes and Random Forest) to improve the quality of student data by eliminating noisy instances, and hence improving predictive accuracy. The prediction performance of three classifiers are measured and compared. It was observed that Naïve Bayes classifier outperforms other two classifiers by achieving overall prediction accuracy of 80%. This study will help teachers to improve student academic performance.

Key Words

Data Mining (DM), Educational data mining (EDM), Education System

Cite This Article

"Prediction Of Students Academic Performance Using Ensemble Methods Through Educational Data Mining", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.143-148, June-2018, Available :http://www.jetir.org/papers/JETIR1806405.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Prediction Of Students Academic Performance Using Ensemble Methods Through Educational Data Mining", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp143-148, June-2018, Available at : http://www.jetir.org/papers/JETIR1806405.pdf

Publication Details

Published Paper ID: JETIR1806405
Registration ID: 183652
Published In: Volume 5 | Issue 6 | Year June-2018
DOI (Digital Object Identifier):
Page No: 143-148
Country: kurnool, Ap, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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