AIL303m_-_SP_2023_-_FE_196.webp
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AIL303m_-_SP_2023_-_FE_196.webp

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This is the best way to choose the number of trees to build on a Bagging ensemble.
A. Choose a large number of trees, typically above 100
B. Prioratize training error metrics over out of bag sample
C. Tune number of trees as a hyperparameter that needs to be optimized
D. Choose a number of trees past the point of diminishing returns

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