An algorithm for selecting split attribution in decision tree:ensemble vote based on information gain
Jian You-guang · 2008
An algorithm for selecting split attribution in decision tree with ensemble vote was proposed to avoid local optimization to a certain extent.The classification capability of these candidate attributions on ensemble sample was calculated,and the candidates were voted to select a split attribution to build decision tree.Contrast to Iterative Dichotomizer 3(ID3),the results of experiments showed that the method improved the predictive accuracy at a low cost.