Decision Trees, Advanced Techniques in Constructing

Decision trees such as classification, regression, and survival trees offer the medical decision maker a comprehensive way to calculate predictors and decision rules in a variety of commonly encountered data settings. However, performance of decision trees on external data sets can sometimes be poor. Aggregating decision trees is a simple way to improve performance—and in some instances, aggregated tree predictors can exhibit state-of-the-art performance.

Decision Boundary

Decision trees, by their very nature, are simple and intuitive to understand. For example, a binary classification tree assigns data by dropping a data point (case) down the tree and moving either left or right through nodes depending on the value of a given variable. The nature of a binary tree ensures that each case is assigned to a unique terminal ...

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