Flow
openmldefaults.search.default_search.DefaultSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.forest.RandomForestClassifier))

openmldefaults.search.default_search.DefaultSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.forest.RandomForestClassifier))

Visibility: public Uploaded 08-08-2018 by Jan van Rijn sklearn==0.18.1 numpy>=1.6.1 scipy>=0.9 0 runs
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • openml-python python scikit-learn sklearn sklearn_0.18.1
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit
Automatically created scikit-learn flow.

Components

Parameters

cvdefault: null
defaultsdefault: [{"classifier__bootstrap": true, "classifier__criterion": "gini", "classifier__max_depth": null, "classifier__max_features": 0.2857142857142857, "classifier__max_leaf_nodes": null, "classifier__min_samples_leaf": 1, "classifier__min_samples_split": 2, "classifier__min_weight_fraction_leaf": 0.0, "classifier__n_estimators": 100, "imputation__strategy": "mean"}]
error_scoredefault: "raise"
estimatordefault: {"oml-python:serialized_object": "component_reference", "value": {"key": "estimator", "step_name": null}}
fit_params
iiddefault: "warn"
n_jobsdefault: -1
pre_dispatchdefault: "2*n_jobs"
refitdefault: true
return_train_scoredefault: "warn"
scoringdefault: "accuracy"
verbosedefault: 0

0
Runs

List all runs
Parameter:
Rendering chart
Rendering table