A Comparison of Decision Tree Algorithms For UCI Repository Classification
Journal Title: INTERNATIONAL JOURNAL OF ENGINEERING TRENDS AND TECHNOLOGY - Year 2013, Vol 4, Issue 8
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 trees 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.
Authors and Affiliations
Kittipol Wisaeng
Keywords
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