Volume 2, Issue 1, March 2009, Pages 60 - 68
Accuracy Evaluation of C4.5 and Naive Bayes Classifiers Using Attribute Ranking Method
S. Sivakumari, R. Praveena Priyadarsini, P. Amudha
Received 15 May 2008, Revised 21 January 2009, Available Online 1 March 2009.
- https://doi.org/10.2991/jnmp.2009.2.1.7How to use a DOI?
- 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.
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Cite this article
TY - JOUR AU - S. Sivakumari AU - R. Praveena Priyadarsini AU - P. Amudha PY - 2009 DA - 2009/03 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 - https://doi.org/10.2991/jnmp.2009.2.1.7 ID - Sivakumari2009 ER -