Algorithms · Level 2 of 5
Random Forest
An ensemble of randomized decision trees whose predictions are combined.
Bootstrap sampling and feature subsampling help diversify trees.
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Random Forest. An ensemble of randomized decision trees whose predictions are combined. Bootstrap sampling and feature subsampling help diversify trees. For example: Many trees vote on a class label.
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