What is the purpose of the 'min_samples_split' parameter in a Decision Tree?
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To control the minimum number of samples required to split an internal node.
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To set the maximum depth of the tree.
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To determine the minimum number of samples in a leaf node.
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To specify the maximum number of features to consider.