26 sklearn==0.18.1 numpy>=1.6.1 scipy>=0.9 public 0 18887 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. openml==0.12.2,sklearn==0.18.1 0 sklearn.ensemble.gradient_boosting.GradientBoostingClassifier 0 2021-01-13T18:19:56Z sklearn.ensemble.gradient_boosting.GradientBoostingClassifier