e-ISSN:0976-5166
p-ISSN:2231-3850


INDIAN JOURNAL OF COMPUTER SCIENCE AND ENGINEERING

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Oct 2020 - Volume 11, Issue 5
Deadline: 15 Sep 2020
Notification: 15 Oct 2020
Publication: 31 Oct 2020

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Notification: 15 Dec 2020
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ABSTRACT

Title : Ensemble Classifications for Student Academics Performance Data Set
Authors : Dr.G.Ayyappan
Keywords : Attribute Selected Classifier, Bagging, Classification Via Regression, Weighted Instances Handler Wrapper and Multi Class Classifier.
Issue Date : Feb-Mar 2019
Abstract :
The higher education institutes use data mining tools and techniques for academic improvement of the student performance and to prevent drop out. The data consists of socio-economic, demographic as well as academic information of three hundred students with 22 attributes. Five ensemble classification methods Attribute Selected Classifier, Bagging, Classification Via Regression, Weighted Instances Handler Wrapper and Multi Class Classifier were used. The Class Attendance Percentage attribute makes the highest impact in the final semester results of the students in our dataset. The results showed that MultiClassClassifier outperforms the other classifiers based on accuracy and classifier errors.
Page(s) : 31-34
ISSN : 0976-5166
Source : Vol. 10, No.1
PDF : Download
DOI : 10.21817/indjcse/2019/v10i1/191001009