Question: What is the purpose of the \'min_samples_split\' parameter in a Decision Tree?

Options:

1. To control the minimum number of samples required to split an internal node.
2. To set the maximum depth of the tree.
3. To determine the minimum number of samples in a leaf node.
4. To specify the maximum number of features to consider.

Correct Answer: To control the minimum number of samples required to split an internal node.

Solution:

\'min_samples_split\' controls the minimum number of samples required to split an internal node, helping to prevent overfitting.