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sklearn.ensemble.gradient_boosting.GradientBoostingClassifier

sklearn.ensemble.gradient_boosting.GradientBoostingClassifier

Visibility: public Uploaded 22-11-2019 by Jan van Rijn sklearn==0.21.2 numpy>=1.6.1 scipy>=0.9 0 runs
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  • openml-python python scikit-learn sklearn sklearn_0.21.2
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Gradient Boosting for classification. GB builds an additive model in a forward stage-wise fashion; it allows for the optimization of arbitrary differentiable loss functions. In each stage ``n_classes_`` regression trees are fit on the negative gradient of the binomial or multinomial deviance loss function. Binary classification is a special case where only a single regression tree is induced.

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