A Comparison of Decision Tree Algorithms For UCI Repository Classification
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International Journal of Engineering Trends and Technology (IJETT) | 
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| © 2013 by IJETT Journal | ||
| Volume-4 Issue-8 |
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| Year of Publication : 2013 | ||
| Authors : Kittipol Wisaeng |
Citation
Kittipol Wisaeng. "A Comparison of Decision Tree Algorithms For UCI Repository Classification". International Journal of Engineering Trends and Technology (IJETT). V4(8):3393-3397 Jul 2013. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group.
Abstract
The development of decision tree algorithms have been used for industrial, commercial and scientific purpose. However, the choice of the most suitable algorithm becomes increasingly difficult. In this paper, we present the comparison of decision tree algorithms using Waikato environment for knowledge analysis. The aim is to investigate the performance of data classification for a set of a large data. The algorithms tested are functional tree algorithm , logistic model tre es algorithm, REP tree algorithm and best - first decision tree algorithm . The UCI repository will be used to test and justify the performance of decision tree algorithms. Subsequently, the classification algorithm that has the optimal potential will be suggested for use in large scale data.
References
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Keywords
Functional tree algorithm , logistic model trees algorithm , REP tree algorithm , best - first decision tree algorithm