23 sklearn.ensemble.gradient_boosting.GradientBoostingClassifier 17416 0 0 2019-01-22T00:27:50Z public sklearn.ensemble.gradient_boosting.GradientBoostingClassifier openml==0.10.2,sklearn==0.21.2 0 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. sklearn==0.21.2 numpy>=1.6.1 scipy>=0.9