How does aggregating predictions from multiple trees in a random forest reduce variance compared to a single decision tree?

By increasing the bias of each tree

By selecting the tree with the lowest training error

By averaging out individual tree errors

By using a smaller training set for each tree

Dell Data Science Optimize

Domain 5Objective 2

Random Forests DATA-SCIENCE-OPTIMIZE Practice Questions (Page 6)

Part of the Data Science Theory and Methods domain, which accounts for 15% of the DATA-SCIENCE-OPTIMIZE exam.

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Questions 26–26

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How does aggregating predictions from multiple trees in a random forest reduce variance compared to a single decision tree?
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Random Forests DATA-SCIENCE-OPTIMIZE Practice Questions (Page 6)

Questions 26–26

How does aggregating predictions from multiple trees in a random forest reduce variance compared to a single decision tree?

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