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What is the purpose of the 'bootstrap' sampling method in Random Forests?
Practice Questions
Q1
What is the purpose of the 'bootstrap' sampling method in Random Forests?
To create a balanced dataset
To ensure all features are used
To generate multiple subsets of the training data
To improve model interpretability
Questions & Step-by-Step Solutions
What is the purpose of the 'bootstrap' sampling method in Random Forests?
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