Exploring Statistical Forests

Trees are a valuable way of displaying structure in datasets, especially for classification problems. Improved classification results can be achieved using forests of trees. Adding various visualization methods and interactive tools for analysis of individual trees and of whole forests gives complementary insight into the data. This paper describes different views and methods to analyze tree forests as implemented in our prototype software, KLIMT (KLassification Interactive Methods for Trees).