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sklearn.ensemble.gradient_boosting.GradientBoostingClassifier

sklearn.ensemble.gradient_boosting.GradientBoostingClassifier

Visibility: public Uploaded 14-02-2019 by Matthew Coad sklearn==0.20.1 numpy>=1.6.1 scipy>=0.9 0 runs
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  • openml-python python scikit-learn sklearn sklearn_0.20.1
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Automatically created scikit-learn flow.

Parameters

criteriondefault: "friedman_mse"
initdefault: null
learning_ratedefault: 0.5
lossdefault: "deviance"
max_depthdefault: 5
max_featuresdefault: 0.05
max_leaf_nodesdefault: null
min_impurity_decreasedefault: 0.0
min_impurity_splitdefault: null
min_samples_leafdefault: 15
min_samples_splitdefault: 4
min_weight_fraction_leafdefault: 0.0
n_estimatorsdefault: 100
n_iter_no_changedefault: null
presortdefault: "auto"
random_statedefault: null
subsampledefault: 0.7500000000000001
toldefault: 0.0001
validation_fractiondefault: 0.1
verbosedefault: 0
warm_startdefault: false

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