What is the role of 'bootstrap sampling' in Random Forests?
Practice Questions
1 question
Q1
What is the role of 'bootstrap sampling' in Random Forests?
To select features for each tree
To create multiple subsets of the training data
To evaluate model performance
To increase the depth of trees
Bootstrap sampling involves creating multiple subsets of the training data by sampling with replacement, which helps in building diverse trees.
Questions & Step-by-step Solutions
1 item
Q
Q: What is the role of 'bootstrap sampling' in Random Forests?
Solution: Bootstrap sampling involves creating multiple subsets of the training data by sampling with replacement, which helps in building diverse trees.
