In Gradient Boosting, the learning rate, also known as the __________ rate, controls the contribution of each tree to the final prediction.
- Boosting
- Growing
- Shrinkage
- nan
The learning rate in Gradient Boosting is often referred to as the shrinkage rate, controlling the contribution of each tree to the final prediction. A smaller learning rate means each tree has a smaller influence, leading to a more robust model.
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