EVALUATING RISK FACTORS OF BEING OBESE, BY USING ID3 ALGORITHM IN WEKA SOFTWARE

  • Daniela Qendraj Department of Mathematics, Faculty of Information Technology, University “Aleksandër Moisiu” Durrës, Durrës, Albania
  • Evgjeni Xhafaj Department of Mathematics, Faculty of Information Technology, University “Aleksandër Moisiu” Durrës, Durrës, Albania

Abstract

Id3 algorithm is used for building a decision tree from a fixed set of examples, next step is an iterative way that uses the resulting tree to classify future examples. Nowdays the large amount of data needs to be classified into useful information. Being obese refers to an excessive accumulation of body fat. The aim of this paper is to construct a decision tree with Id3 algorithm, by the data collect from Tirana Inter-medical Centre, analyzing the factors that makes the patients obese.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...
Published
2015-08-30
How to Cite
Qendraj, D., & Xhafaj, E. (2015). EVALUATING RISK FACTORS OF BEING OBESE, BY USING ID3 ALGORITHM IN WEKA SOFTWARE. European Scientific Journal, ESJ, 11(24). Retrieved from https://eujournal.org/index.php/esj/article/view/6113
Issue
Vol 11 No 24 (2015): ESJ August Edition
Section
Articles