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Tree-Based Models
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Gradient Boosting (XGBoost, LightGBM)
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453.
Learning Rate in Gradient Boosting
easy
What is the role of the learning rate in gradient boosting?
A
It determines the fraction of training samples used to fit each tree in the ensemble
B
It controls the maximum depth of each tree, limiting how complex individual learners can become
C
It scales the contribution of each new tree, controlling how aggressively the ensemble updates
D
It sets the minimum impurity reduction required before a new split is accepted in any tree
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