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Comparative Analysis of Selected Classifiers in Mining Students' Educational Data

Ayinde A. Q, E. O Omidiora, A. B Adetunji Published in Information Sciences

Communications on Applied Electronics
Year of Publication: 2015
© 2015 by CAE Journal

Ayinde A.q, E o Omidiora and A b Adetunji. Article: Comparative Analysis of Selected Classifiers in Mining Students’ Educational Data. Communications on Applied Electronics 1(5):5-8, April 2015. Published by Foundation of Computer Science, New York, USA. BibTeX

	author = {Ayinde A.q and E.o Omidiora and A.b Adetunji},
	title = {Article: Comparative Analysis of Selected Classifiers in Mining Students’ Educational Data},
	journal = {Communications on Applied Electronics},
	year = {2015},
	volume = {1},
	number = {5},
	pages = {5-8},
	month = {April},
	note = {Published by Foundation of Computer Science, New York, USA}


Educational data mining is concerned with developing methods that discover knowledge from educational databases. Many predictive classifiers have been applied in mining educational data with less emphasis on their performance evaluation in order to determine the most efficient. In this study, a comparative analysis of three predictive classifiers for mining educational data was conducted.


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Comparative Analysis, Selected Classifiers, Instance Based Learning, Lazy Classifier.