A Split Criterion for Binary Decision Trees
Hyun Jip Choi, Myong Rok Oh · Communications for Statistical Applications and Methods · 2002
In this paper, we propose a split criterion for binary decision trees. The proposed criterion selects the optimal split by measuring the prediction success of the candidate splits at a given node. The criterion is shown to have the property of exclusive preference. Examples are given to demonstrate the properties of the criterion.