Prediction of Different Learning Habit among Students using Data Mining Algorithms

Prediction of Different Learning Habit among Students using Data Mining Algorithms

Authors

  • Ms. Gloriya Mathew KTU
  • Jincy Mathew

Keywords:

WEKA, Student's learning habits, Academic Performance, Naive Bates, J48

Abstract

Education is really important. Data
mining is useful for forecasting a student's
academic achievement. This study focuses on
identifying distinct learning habits among students
and using data mining algorithms to predict
academic success, leading to the prediction of the
optimum learning habit. The use of Naive Bayes,
J48 employing WEKA as an Open Source Tool is
used to predict learning habits. A comparison is
also done between these two classifiers in order to
estimate accuracy and identify the best learning
habits among them

Published

2022-12-20

How to Cite

Ms. Gloriya Mathew, & Jincy Mathew. (2022). Prediction of Different Learning Habit among Students using Data Mining Algorithms. National Conference on Emerging Computer Applications, 3(1). Retrieved from https://ajcejournal.in/nceca/article/view/89

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