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Nena ODriscoll
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Nena's flows

sklearn.pipeline.Pipeline(PCA=sklearn.decomposition.pca.PCA,tree=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
4 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(scaling=sklearn.preprocessing.data.StandardScaler,PCA=sklearn.decomposition.pca.PCA,tree=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
2 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(tree=sklearn.ensemble.forest.RandomForestClassifier) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(scaling=sklearn.preprocessing.data.StandardScaler,PCA=sklearn.decomposition.pca.PCA,n=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(scaling=sklearn.preprocessing.data.StandardScaler,PCA=sklearn.decomposition.pca.PCA,tree=sklearn.tree.tree.DecisionTreeClassifier) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(scaling=sklearn.preprocessing.data.StandardScaler,tree=sklearn.tree.tree.DecisionTreeClassifier) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(scaling=sklearn.preprocessing.data.StandardScaler,PCA=sklearn.decomposition.pca.PCA,tree=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact
sklearn.pipeline.Pipeline(PCA=sklearn.decomposition.pca.PCA,tree=sklearn.neighbors.classification.KNeighborsClassifier) (1)
Automatically created scikit-learn flow.
1 runs0 likes0 downloads0 reach0 impact