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Gradient boosting is a machine learning technique for regression problems, which produces a prediction model in the form of an ensemble of weak prediction models, typically decision trees.
Gradient Boosting Trees The algorithm for Boosting Trees evolved from the application of boosting methods to regression trees.
See also: Regression, Boosting, Machine learning, Classification, Distribution
 
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