Research on Decision Forest Classification-Model Based on Feature Counting

Jing Dong Wang

doi:10.4028/www.scientific.net/AMM.681.258

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 681Research on Decision Forest Classification-Model...

Research on Decision Forest Classification-Model Based on Feature Counting

Abstract:

Traditional decision tree is based on the information gain of the decision attribute，but sometimes the information gain is changing dynamically according to different values of the decision attribute.This paper propose the decision forest algorithm which is based on feature counting,deduced the calculation method of dynamic values of decision attribute information gain.,andestablish the model of decision forest with specific data sets.The experiment indicate that the decision-making model of forest classification based on count feature has higher classification accuracy.

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Periodical:

Applied Mechanics and Materials (Volume 681)

Pages:

258-261

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.681.258

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Online since:

October 2014

Authors:

Jing Dong Wang

Keywords:

Decision Forest, Feature Counting, Information Gain

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