Flow
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.ensemble.forest.RandomForestClassifier)

sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.ensemble.forest.RandomForestClassifier)

Visibility: public Uploaded 16-10-2017 by Toon Van Craenendonck sklearn==0.18.2 numpy>=1.6.1 scipy>=0.9 3 runs
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  • openml-python python scikit-learn sklearn sklearn_0.18.2 Verified_Supervised_Classification
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Automatically created scikit-learn flow.

Components

Parameters

cvdefault: null
error_scoredefault: "raise"
estimatordefault: {"oml-python:serialized_object": "component_reference", "value": {"key": "estimator", "step_name": null}}
fit_params
iiddefault: true
n_iterdefault: 10
n_jobsdefault: 1
param_distributionsdefault: {"bootstrap": [true, false], "criterion": ["gini", "entropy"], "max_depth": [3, null], "max_features": [1, 2, 3, 4]}
pre_dispatchdefault: "2*n_jobs"
random_statedefault: 42
refitdefault: true
return_train_scoredefault: true
scoringdefault: null
verbosedefault: 0

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