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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