Figure 1: A classification decision tree is built by partitioning the predictor variable to reduce class mixing at each split. Figure 2: Regression trees predict a continuous variable using steps ...

We developed and internally validated a classification and regression tree (CART) to identify patient characteristics associated with risks of early mortality, at or before 6 months from treatment ...

34 potential prognostic factors were used in this analysis. Results Four classification trees (prognostic pathways or decision trees) were created, one for each outcome. The most important predictor ...

In this study, using a data set composed of five Japanese regional banks, we propose an LGD estimation model using a two- stage model, classification tree-based boosting and support vector regression ...

Classification and regression tree (CART) methods are a class of data mining techniques which constitute an alternative approach to classical regression. CART methods are frequently used in ...