Question: What is the role of \'bootstrap sampling\' in Random Forests?

Options:

1. To select features for each tree
2. To create multiple subsets of the training data
3. To evaluate model performance
4. To increase the depth of trees

Correct Answer: To create multiple subsets of the training data

Solution:

Bootstrap sampling involves creating multiple subsets of the training data by sampling with replacement, which helps in building diverse trees.