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Quantitative Methods
Quantitative Methods
Easy
Compared to a single decision tree, a random forest most likely has:
A
Lower variance and lower risk of overfitting
B
Higher interpretability and easier explanation to stakeholders
C
Lower computational cost due to simpler model structure
D
Higher bias because it averages many simple models
Select an answer to continue
Tags
#random-forest
#decision-tree
#variance-reduction
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