UGC Approved Journal no 63975(19)

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

Volume 10 Issue 4
April-2023
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2304980


Registration ID:
513551

Page Number

f644-f648

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Title

An Analysis of Academic Performance through Educational Data Mining Approach

Abstract

It is essential to improve the value of education by accurately predicting student academic achievement. Some studies have been done that concentrate primarily on predicting students' success in college. In contrast, research on secondary-level performance prediction has been sparse, yet the secondary level is often used as a standard to define students' educational progress at higher levels of education. The goal of this study was to identify the most important influences on secondary school students' academic performance and to develop an effective classification model for the prediction of academic performance by combining single and ensemble-based classifiers. In this approach data are sent to Decision Tree, Random forest and logistic Regression to train and test data. The results showed that the proposed approach gives better results.

Key Words

Data mining, Prediction, Student performance, Higher Education, Educational Data Mining.

Cite This Article

"An Analysis of Academic Performance through Educational Data Mining Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 4, page no.f644-f648, April-2023, Available :http://www.jetir.org/papers/JETIR2304980.pdf

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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

"An Analysis of Academic Performance through Educational Data Mining Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 4, page no. ppf644-f648, April-2023, Available at : http://www.jetir.org/papers/JETIR2304980.pdf

Publication Details

Published Paper ID: JETIR2304980
Registration ID: 513551
Published In: Volume 10 | Issue 4 | Year April-2023
DOI (Digital Object Identifier):
Page No: f644-f648
Country: Indore, Madhya Pradesh, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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