Assessing the Impact of Attendance in Students’ Final Success Using the Decision-Making Tree

Authors

  • S. Alija South East European University, Tetovo, Republic of Macedonia
  • B. Apam Bolgatanga Polytechnic, Ghana

Keywords:

Student’s attendance, Decision-Making Tree, ID3 Algorithm, Weka Package

Abstract

In this paper, we use the decision-making tree to explain the impact attendance has on students’ final success. The paper analyses the results of 56 students in 3 subjects during the academic year 2016/2017 (first, second and third-year students of Business Mathematics, Statistics, and Managerial Economics at SEE University in Tetovo). The results show that attendance is the most important of the 5 attributes in this study, placing it at the root of the tree. In constructing the Decision-making Tree, we have used the ID3 Algorithm within the Weka software package.

Author Biographies

S. Alija, South East European University, Tetovo, Republic of Macedonia

Faculty of Business and Economics 

B. Apam, Bolgatanga Polytechnic, Ghana

Department of Statistics

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Published

2017-12-20

Issue

Vol. 10(59) No. 2 (2017)

Section

ECONOMIC DATA PROCESSING

License

Copyright (c) 2017 Bulletin of the Transilvania University of Brasov. Series V: Economic Sciences

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.