Question 6This tree ensemble method only uses a subset of the features for each tree:1 pointStackingAdaboostBaggingRandom Forest
Question
Question 6This tree ensemble method only uses a subset of the features for each tree:1 pointStackingAdaboostBaggingRandom Forest
Solution
The answer is Random Forest. This method builds multiple decision trees and merges them together to get a more accurate and stable prediction. One of the key differences between Random Forest and other decision tree methods is that it uses a subset of the features for each tree. This randomness in feature selection helps to make the model more robust and prevents overfitting.
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