Successful implementation of a classification tree requires objective criteria for splitting the data at each node based on a dependent variable.

Question

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Classification trees use objective criteria, such as Gini impurity or information gain, to split the data at each node based on the values of the dependent variable, aiming to create subsets that are as homogeneous as possible with respect to the target variable.

Successful Implementation of a Classification Tree Requires Objective Criteria for Splitting