Two univariate split methods and one linear combination split method are proposed for the construction of classification trees with multiway splits. Examples are given where the trees are more compact ...

The predictive ability of the tree to differentiate survivors and non-survivors was determined by the ROC curve. The classification tree was developed in the program R-2.7.0-WIN.

Explores advanced classification and regression tree techniques, focusing on bagging and random methods for improved predictive accuracy.

Classification and regression trees can identify 6-month mortality risk for patients with advanced hepatocellular carcinoma.