Flow
sklearn.ensemble.voting_classifier.VotingClassifier(lr=sklearn.linear_model.logistic.LogisticRegression,knn=sklearn.neighbors.classification.KNeighborsClassifier,rf=sklearn.ensemble.forest.RandomForestClassifier,GB=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)

sklearn.ensemble.voting_classifier.VotingClassifier(lr=sklearn.linear_model.logistic.LogisticRegression,knn=sklearn.neighbors.classification.KNeighborsClassifier,rf=sklearn.ensemble.forest.RandomForestClassifier,GB=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)

Visibility: public Uploaded 09-03-2018 by Sami Ozarik sklearn==0.19.1 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_0.19.1
Issue #Downvotes for this reason By


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

Parameters

estimatorsdefault: [{"oml-python:serialized_object": "component_reference", "value": {"key": "lr", "step_name": "lr"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "knn", "step_name": "knn"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "rf", "step_name": "rf"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "GB", "step_name": "GB"}}]
flatten_transformdefault: null
n_jobsdefault: 1
votingdefault: "soft"
weightsdefault: null

0
Runs

List all runs
Parameter:
Rendering chart
Rendering table