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Which of the following is a key advantage of using Random Forests over a single
Which of the following is a key advantage of using Random Forests over a single decision tree?
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Which of the following is a key advantage of using Random Forests over a single decision tree?
Faster training time
Higher interpretability
Reduced risk of overfitting
Simpler model structure
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Random Forests reduce the risk of overfitting by averaging the predictions of multiple decision trees, leading to better generalization.
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Q: Which of the following is a key advantage of using Random Forests over a single decision tree?
Solution:
Random Forests reduce the risk of overfitting by averaging the predictions of multiple decision trees, leading to better generalization.
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