Use of Supervised Learning Technique in Student Performance Prediction

Authors

  • A. M. Chandrashekhar  Department of Computer Science & Engineering, Sri Jayachamarajendra College of Engineering(SJCE),JSS S&T University Campus, Mysore, Karnataka, India
  • Megha M. G.  Department of Computer Science & Engineering, Sri Jayachamarajendra College of Engineering(SJCE),JSS S&T University Campus, Mysore, Karnataka, India

Keywords:

Educational data mining, supervised learning technique C4.5, Multilayer perceptron, Naive Bayes

Abstract

Predicting the performance of student plays an important role in educational environment. The educational database contains a huge amount of data. These database contain hidden information for evaluation and improvement of student’s performance. The feasible technique to achieve this prediction is data mining. Personal, social, psychological and other environmental variables are the factors that affects the performance of student. There are many classifier technique that can be applied for predicting the performance of student. This study explores the impact of supervised learning technique for predicting the performance of student.

References

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International Journal of Scientific Research in Science and Technology

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Published

2017-06-30

Issue

Volume 3, Issue 4, May-June-2017

Section

Research Articles

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How to Cite

[1]
A. M. Chandrashekhar, Megha M. G., " Use of Supervised Learning Technique in Student Performance Prediction, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 3, Issue 4, pp.468-472, May-June-2017.