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

Practice Questions

Q1
What is the purpose of the 'min_samples_split' parameter in a Decision Tree?
  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.

Questions & Step-by-Step Solutions

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