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sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)

Visibility: public Uploaded 20-08-2018 by Benjamin sklearn==0.19.2 numpy>=1.6.1 scipy>=0.9 0 runs
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Automatically created scikit-learn flow.

Components

base_estimator

sklearn.tree.tree.DecisionTreeClassifier(27)

Parameters

algorithm		default: "SAMME"
base_estimator		default: {"oml-python:serialized_object": "component_reference", "value": {"key": "base_estimator", "step_name": null}}
learning_rate		default: 0.13763986428910163
n_estimators		default: 161
random_state		default: null

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sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)

Components

Parameters

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