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

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

Visibility: public Uploaded 04-11-2019 by Continuous Integration sklearn==0.21.2 numpy>=1.6.1 scipy>=0.9 4 runs
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  • openml-python python scikit-learn sklearn sklearn_0.21.2
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Automatically created scikit-learn flow.

Components

Parameters

cvdefault: {"oml-python:serialized_object": "cv_object", "value": {"name": "sklearn.model_selection._split.StratifiedKFold", "parameters": {"n_splits": "2", "random_state": "null", "shuffle": "true"}}}
error_scoredefault: "raise-deprecating"
estimatordefault: {"oml-python:serialized_object": "component_reference", "value": {"key": "estimator", "step_name": null}}
iiddefault: "warn"
n_iterdefault: 2
n_jobsdefault: null
param_distributionsdefault: {"bootstrap": [true, false], "criterion": ["gini", "entropy"], "max_depth": [3, null], "max_features": [1, 2, 3, 4], "min_samples_leaf": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10], "min_samples_split": [2, 3, 4, 5, 6, 7, 8, 9, 10]}
pre_dispatchdefault: "2*n_jobs"
random_statedefault: null
refitdefault: true
return_train_scoredefault: false
scoringdefault: null
verbosedefault: 0

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