.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "auto_examples/ensemble/plot_voting_decision_regions.py" .. LINE NUMBERS ARE GIVEN BELOW. .. only:: html .. note:: :class: sphx-glr-download-link-note :ref:`Go to the end ` to download the full example code or to run this example in your browser via JupyterLite or Binder .. rst-class:: sphx-glr-example-title .. _sphx_glr_auto_examples_ensemble_plot_voting_decision_regions.py: ================================================== Plot the decision boundaries of a VotingClassifier ================================================== .. currentmodule:: sklearn Plot the decision boundaries of a :class:`~ensemble.VotingClassifier` for two features of the Iris dataset. Plot the class probabilities of the first sample in a toy dataset predicted by three different classifiers and averaged by the :class:`~ensemble.VotingClassifier`. First, three exemplary classifiers are initialized (:class:`~tree.DecisionTreeClassifier`, :class:`~neighbors.KNeighborsClassifier`, and :class:`~svm.SVC`) and used to initialize a soft-voting :class:`~ensemble.VotingClassifier` with weights `[2, 1, 2]`, which means that the predicted probabilities of the :class:`~tree.DecisionTreeClassifier` and :class:`~svm.SVC` each count 2 times as much as the weights of the :class:`~neighbors.KNeighborsClassifier` classifier when the averaged probability is calculated. .. GENERATED FROM PYTHON SOURCE LINES 25-71 .. image-sg:: /auto_examples/ensemble/images/sphx_glr_plot_voting_decision_regions_001.png :alt: Decision Tree (depth=4), KNN (k=7), Kernel SVM, Soft Voting :srcset: /auto_examples/ensemble/images/sphx_glr_plot_voting_decision_regions_001.png :class: sphx-glr-single-img .. code-block:: Python from itertools import product import matplotlib.pyplot as plt from sklearn import datasets from sklearn.ensemble import VotingClassifier from sklearn.inspection import DecisionBoundaryDisplay from sklearn.neighbors import KNeighborsClassifier from sklearn.svm import SVC from sklearn.tree import DecisionTreeClassifier # Loading some example data iris = datasets.load_iris() X = iris.data[:, [0, 2]] y = iris.target # Training classifiers clf1 = DecisionTreeClassifier(max_depth=4) clf2 = KNeighborsClassifier(n_neighbors=7) clf3 = SVC(gamma=0.1, kernel="rbf", probability=True) eclf = VotingClassifier( estimators=[("dt", clf1), ("knn", clf2), ("svc", clf3)], voting="soft", weights=[2, 1, 2], ) clf1.fit(X, y) clf2.fit(X, y) clf3.fit(X, y) eclf.fit(X, y) # Plotting decision regions f, axarr = plt.subplots(2, 2, sharex="col", sharey="row", figsize=(10, 8)) for idx, clf, tt in zip( product([0, 1], [0, 1]), [clf1, clf2, clf3, eclf], ["Decision Tree (depth=4)", "KNN (k=7)", "Kernel SVM", "Soft Voting"], ): DecisionBoundaryDisplay.from_estimator( clf, X, alpha=0.4, ax=axarr[idx[0], idx[1]], response_method="predict" ) axarr[idx[0], idx[1]].scatter(X[:, 0], X[:, 1], c=y, s=20, edgecolor="k") axarr[idx[0], idx[1]].set_title(tt) plt.show() .. rst-class:: sphx-glr-timing **Total running time of the script:** (0 minutes 0.691 seconds) .. _sphx_glr_download_auto_examples_ensemble_plot_voting_decision_regions.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: binder-badge .. image:: images/binder_badge_logo.svg :target: https://mybinder.org/v2/gh/scikit-learn/scikit-learn/main?urlpath=lab/tree/notebooks/auto_examples/ensemble/plot_voting_decision_regions.ipynb :alt: Launch binder :width: 150 px .. container:: lite-badge .. image:: images/jupyterlite_badge_logo.svg :target: ../../lite/lab/?path=auto_examples/ensemble/plot_voting_decision_regions.ipynb :alt: Launch JupyterLite :width: 150 px .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: plot_voting_decision_regions.ipynb ` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: plot_voting_decision_regions.py ` .. include:: plot_voting_decision_regions.recommendations .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_