Forests of Decision Trees
Krzysztof Grąbczewski, Włodzisław Duch · 2003
In many cases it is better to extract a set of decision trees and a set of possible logical data descriptions instead of a single model. Methods for creating forests of decision trees based on Separability of Split Value (SSV) criterion are presented. Preliminary results confirm their usefulness in understanding data structures. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.