Performance Analysis On Decision Tree Algorithms
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Abstract
In data mining, classification is one of the most widely use technique for medical diagnosis, fraud detection, artificial intelligence, sales and production, plant classification etc. Various algorithms have been implemented till now to build a decision tree which is a classification technique. Decision tree algorithms like ID3, C4.5, VFDT, RDT used widely because of its easy implementation and analysis is much simple. In this paper we are highlighting on performance evolution of these algorithms i.e. accuracy of each algorithm with the respective dataset used. And presenting the best one implemented so far.
Keywords: Classification, Decision trees, ID3, C4.5.
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