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What is the main benefit of employing an ensemble method like random forests compared to a single decision tree in the context of distributed decision trees? Select the ONE best answer.
A
Ensemble methods offer greater interpretability than single decision trees
B
Ensemble methods are less likely to overfit than single decision trees
C
Ensemble methods can be trained more quickly than single decision trees
D
Ensemble methods use less memory than single decision trees
E
None of the above
