In decision tree models, algorithms make decisions on which variable to use for splitting the data with the goal of identifying the best way to split the data into subsets.

Question

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Decision tree algorithms use measures like information gain, Gini impurity, or chi-square to decide on the best variable for splitting the data, aiming to create subsets that are as homogeneous as possible with respect to the target variable.

In Decision Tree Models, Algorithms Make Decisions on Which Variable