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Tree-Based Models
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Random Forest
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653.
Random Forest Construction
easy
How does a Random Forest generate its ensemble of decision trees?
A
By training each tree on the full training data but with a different random initialization of split thresholds
B
By training each tree on a bootstrap sample of the training data with a random subset of features at each split
C
By partitioning the training data into non-overlapping subsets and training one tree per subset
D
By sequentially training trees where each new tree corrects the errors of the previous one
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