Decision Trees, Advanced Techniques in Constructing Further Readings Decision Trees, Advanced Techniques in Constructing
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define impurity using the log-rank test. As in CART, growing a tree by reducing impurity ensures that terminal nodes are populated by individuals with similar behavior. In the case of a survival tree, terminal nodes are composed of patients with similar survival. The terminal node value in a survival tree is the survival function and is estimated using those patients within the terminal node. This differs from classification and regression trees, where terminal node values are a single value (the estimated class label or predicted value for the response, respectively). Figure 3 shows an example of a survival tree.
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