Attribute Selection Based on Constraint Gain and Depth Optimal for a Decision Tree
Uncertainty evaluation based on statistical probabilistic information entropy is a commonly used mechanism for a heuristic method construction of decision tree learning.The entropy kernel potentially links its deviation and decision tree classification performance.This color block iphone case paper presents a decision tree learning algorithm based