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sklearn.ensemble.gradient_boosting.GradientBoostingClassifier

sklearn.ensemble.gradient_boosting.GradientBoostingClassifier

Visibility: public Uploaded 13-07-2017 by Mini Challenge Anonymous sklearn==0.18.1 numpy>=1.6.1 scipy>=0.9 18 runs
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  • openml-python python scikit-learn sklearn sklearn_0.18.1 Verified_Supervised_Classification
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Automatically created scikit-learn flow.

Parameters

criteriondefault: "friedman_mse"
initdefault: null
learning_ratedefault: 0.1
lossdefault: "deviance"
max_depthdefault: 1
max_featuresdefault: null
max_leaf_nodesdefault: null
min_impurity_splitdefault: 1e-07
min_samples_leafdefault: 1
min_samples_splitdefault: 2
min_weight_fraction_leafdefault: 0.0
n_estimatorsdefault: 400
presortdefault: "auto"
random_statedefault: null
subsampledefault: 1.0
verbosedefault: 0
warm_startdefault: false

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