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sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.MinMaxScaler,svm=sklearn.svm.classes.SVC)) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(feature_selection=sklearn.feature_selection.univariate_selection.SelectKBest,random_forest=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
6 runs0 likes0 downloads0 reach0 impact
sklearn.model_selection._search.GridSearchCV(estimator=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(scalar=sklearn.preprocessing.data.StandardScaler,nearest_neighbor=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(scalar=sklearn.preprocessing.data.MinMaxScaler,nearest_neighbor=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(scalar=sklearn.preprocessing.data.MinMaxScaler,random_forest=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(scalar=sklearn.preprocessing.data.StandardScaler,random_forest=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
3 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(scalar=sklearn.preprocessing.data.StandardScaler,rfc=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(scalar=sklearn.preprocessing.data.MinMaxScaler,rfc=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact