ExtraTreesClassifier
ExtraTreesClassifierA model type for constructing a extra trees classifier, based on MLJScikitLearnInterface.jl, and implementing the MLJ model interface.
From MLJ, the type can be imported using
ExtraTreesClassifier = @load ExtraTreesClassifier pkg=MLJScikitLearnInterfaceDo model = ExtraTreesClassifier() to construct an instance with default hyper-parameters. Provide keyword arguments to override hyper-parameter defaults, as in ExtraTreesClassifier(n_estimators=...).
Extra trees classifier, fits a number of randomized decision trees on various sub-samples of the dataset and uses averaging to improve the predictive accuracy and control over-fitting.