ExtraTreesRegressor

ExtraTreesRegressor

A model type for constructing a extra trees regressor, based on MLJScikitLearnInterface.jl, and implementing the MLJ model interface.

From MLJ, the type can be imported using

ExtraTreesRegressor = @load ExtraTreesRegressor pkg=MLJScikitLearnInterface

Do model = ExtraTreesRegressor() to construct an instance with default hyper-parameters. Provide keyword arguments to override hyper-parameter defaults, as in ExtraTreesRegressor(n_estimators=...).

Extra trees regressor, 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.