Research on Decision Forest Classification-Model Based on Feature Counting
Jing Dong Wang · Applied Mechanics and Materials · 2014
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.