The GradientBoostingRegressor is a class provided by the scikit-learn library in Python. It belongs to the ensemble module and is used for implementing the gradient boosting regression algorithm. Gradient boosting is a powerful technique for creating predictive models by combining an ensemble of weak models, such as decision trees, to form a strong model. The GradientBoostingRegressor class specifically focuses on building regression models. It provides various hyperparameters that can be tuned to control the model's complexity and performance. This class is widely used in machine learning tasks where predicting continuous numerical values is required.
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