Pattern Extraction, Classification and Comparison Between Attribute Selection Measures

Abstract

In this research, we have compared three different attribute selection measures algorithms. We have used ID3 algorithm, C4.5 algorithm and CART algorithm. All these algorithms are decision tree based algorithm. We have got the accuracy of three different algorithms and we observed that the accuracy of ID3 algorithm is greater than C4.5 algorithm. But the accuracy of CART algorithm is greater than other two algorithms. We have also calculated the time complexity of three  different algorithms. To compare these algorithms, we have used heart disease dataset which is collected from UCI machine learning repository.

Authors and Affiliations

Subrata Pramanik , Md. Rashedul Islam , Md. Jamal Uddin

Keywords

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  • EP ID EP113453
  • DOI -
  • Views 130
  • Downloads 0

How To Cite

Subrata Pramanik, Md. Rashedul Islam, Md. Jamal Uddin (2010). Pattern Extraction, Classification and Comparison Between Attribute Selection Measures. International Journal of Computer Science and Information Technologies, 1(5), 371-375. https://europub.co.uk/articles/-A-113453