Accuracy Evaluation of C4.5 and Naive Bayes Classifiers Using Attribute Ranking Method

DOI

10.2991/jnmp.2009.2.1.7How to use a DOI?

Abstract

This paper intends to classify the Ljubljana Breast Cancer dataset using C4.5 Decision Tree and Nai?ve Bayes classifiers. In this work, classification is carriedout using two methods. In the first method, dataset is analysed using all the attributes in the dataset. In the second method, attributes are ranked using information gain ranking technique and only the high ranked attributes are used to build the classification model. We are evaluating the results of C4.5 Decision Tree and Nai?ve Bayes classifiers in terms of classifier accuracy for various folds of cross validation. Our results show that both the classifiers achieve good accuracy on the dataset.

Copyright

© 2009, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - S. Sivakumari
AU  - R. Praveena Priyadarsini
AU  - P. Amudha
PY  - 2009
DA  - 2009/03/01
TI  - Accuracy Evaluation of C4.5 and Naive Bayes Classifiers Using Attribute Ranking Method
JO  - International Journal of Computational Intelligence Systems
SP  - 60
EP  - 68
VL  - 2
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/jnmp.2009.2.1.7
DO  - 10.2991/jnmp.2009.2.1.7
ID  - Sivakumari2009
ER  -