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What does 'bagging' refer to in the context of Random Forests?

Practice Questions

Q1
What does 'bagging' refer to in the context of Random Forests?
  1. A method to combine multiple models.
  2. A technique to select features.
  3. A way to visualize trees.
  4. A process to clean data.

Questions & Step-by-Step Solutions

What does 'bagging' refer to in the context of Random Forests?
  • Step 1: Understand that 'bagging' is short for 'Bootstrap Aggregating'.
  • Step 2: Know that it involves creating multiple copies of a dataset by sampling with replacement.
  • Step 3: Realize that each copy of the dataset is used to train a separate model.
  • Step 4: Learn that the predictions from all these models are combined to make a final prediction.
  • Step 5: Understand that this process helps to reduce errors and improve the overall performance of the model.
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