Comparative Study of Twoing and Entropy Criterion for Decision Tree Classification of Dispersed Data
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TLDR
In this article , decision tree models are developed on dispersed data using entropy measure and twoing criterion as the splitting criteria, and the main purpose of this paper is to make a comparative study on the classification quality of decision tree model built on dispersed data using twoing splitting measure.About:
This article is published in Procedia Computer Science.The article was published on 2022-01-01 and is currently open access. It has received 0 citations till now. The article focuses on the topics: Computer science & Decision tree.read more
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