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Which of the following statements about Random Forests is true?

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Question: Which of the following statements about Random Forests is true?

Options:

  1. They can only be used for regression tasks.
  2. They are less interpretable than single decision trees.
  3. They require more computational resources than a single decision tree.
  4. All of the above.

Correct Answer: All of the above.

Solution: 

Random Forests can be used for both classification and regression, are less interpretable than single trees, and require more computational resources.

Which of the following statements about Random Forests is true?

Practice Questions

Q1
Which of the following statements about Random Forests is true?
  1. They can only be used for regression tasks.
  2. They are less interpretable than single decision trees.
  3. They require more computational resources than a single decision tree.
  4. All of the above.

Questions & Step-by-Step Solutions

Which of the following statements about Random Forests is true?
  • Step 1: Understand what Random Forests are. They are a type of machine learning model that uses multiple decision trees to make predictions.
  • Step 2: Know that Random Forests can be used for two main tasks: classification (categorizing data) and regression (predicting numerical values).
  • Step 3: Learn that Random Forests are generally less interpretable than single decision trees. This means it's harder to understand how they make decisions compared to a single tree.
  • Step 4: Recognize that Random Forests require more computational resources than a single decision tree because they involve training multiple trees.
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