Question: What is the main reason for using a random subset of features in building decision trees in a random forest? Question 3 options: To improve

What is the main reason for using a random subset of features in building decision trees in a random forest?
Question 3 options:
To improve prediction accuracy
To prevent overfitting
To reduce the correlation between trees
To increase the variance of the model

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