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What is the role of the 'max_depth' parameter in Decision Trees?

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Question: What is the role of the \'max_depth\' parameter in Decision Trees?

Options:

  1. To control the number of features used
  2. To limit the number of samples at each leaf
  3. To prevent the tree from growing too deep and overfitting
  4. To increase the computational efficiency

Correct Answer: To prevent the tree from growing too deep and overfitting

Solution:

The \'max_depth\' parameter limits how deep the tree can grow, helping to prevent overfitting by controlling model complexity.

What is the role of the 'max_depth' parameter in Decision Trees?

Practice Questions

Q1
What is the role of the 'max_depth' parameter in Decision Trees?
  1. To control the number of features used
  2. To limit the number of samples at each leaf
  3. To prevent the tree from growing too deep and overfitting
  4. To increase the computational efficiency

Questions & Step-by-Step Solutions

What is the role of the 'max_depth' parameter in Decision Trees?
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