Effectiveness analysis of ZeroR and J48 classifiers using Weka toolkit

Authors

  • Livia Sangeorzan Transilvania University of Brasov, Romania

DOI:

https://doi.org/10.31926/but.mif.2019.12.61.2.25

Keywords:

ZeroR classifier, J48 classifier, accuracy, cross validation

Abstract

A current problem is comparing the techniques for evaluating large datasets and interpreting these data for making decisions in a better way. This paper compares two widely used classification algorithms (ZeroR, J48) from the point of view of several metrics with the open-source Weka tool. The experimental comparison was made on two datasets of different sizes and from different domains: business and life.

Author Biography

Livia Sangeorzan, Transilvania University of Brasov, Romania

Faculty of Mathematics and Informatics

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Published

2020-01-20

Issue

Section

INFORMATICS