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Which of the following statements is true about Random Forests?

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

Options:

  1. They are always less accurate than a single Decision Tree
  2. They can only be used for regression tasks
  3. They improve accuracy by averaging multiple trees
  4. They require more computational resources than a single tree

Correct Answer: They improve accuracy by averaging multiple trees

Solution:

Random Forests improve accuracy by averaging the predictions of multiple trees, which helps to reduce variance.

Which of the following statements is true about Random Forests?

Practice Questions

Q1
Which of the following statements is true about Random Forests?
  1. They are always less accurate than a single Decision Tree
  2. They can only be used for regression tasks
  3. They improve accuracy by averaging multiple trees
  4. They require more computational resources than a single tree

Questions & Step-by-Step Solutions

Which of the following statements is true about Random Forests?
  • Step 1: Understand that Random Forests are a type of machine learning model that uses multiple decision trees.
  • Step 2: Know that each decision tree makes its own prediction based on the data it receives.
  • Step 3: Realize that Random Forests combine the predictions from all these trees to make a final prediction.
  • Step 4: Learn that by averaging the predictions from multiple trees, Random Forests can reduce errors and improve accuracy.
  • Step 5: Understand that this process helps to reduce variance, which means the model is less likely to be affected by random fluctuations in the data.
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