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What is the purpose of tree pruning in decision tree methods? Group of answer choices To increase the complexity of the tree for better accuracy

What is the purpose of tree pruning in decision tree methods?
Group of answer choices
To increase the complexity of the tree for better accuracy
To perform recursive binary splitting and calculate the classification error rate
To reduce overfitting by creating a smaller tree with fewer splits
To calculate the Gini index and entropy for each possible split

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