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Gradient-Boosted Decision Tree
Definition
A gradient-boosted decision tree is, as in other bagging and boosting methods, a method where the relatively 'weak' machine learning model (a decision tree) is used in an ensemble to form a 'strong' machine learning model.
Reference
- Google. (28 Sep 2023). Gradient Boosted Decision Trees. Link.
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