.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "auto_examples/model_selection/plot_cv_predict.py" .. LINE NUMBERS ARE GIVEN BELOW. .. only:: html .. note:: :class: sphx-glr-download-link-note Click :ref:`here ` to download the full example code or to run this example in your browser via Binder .. rst-class:: sphx-glr-example-title .. _sphx_glr_auto_examples_model_selection_plot_cv_predict.py: ==================================== Plotting Cross-Validated Predictions ==================================== This example shows how to use :func:`~sklearn.model_selection.cross_val_predict` to visualize prediction errors. .. GENERATED FROM PYTHON SOURCE LINES 11-29 .. image:: /auto_examples/model_selection/images/sphx_glr_plot_cv_predict_001.png :alt: plot cv predict :class: sphx-glr-single-img .. code-block:: default from sklearn import datasets from sklearn.model_selection import cross_val_predict from sklearn import linear_model import matplotlib.pyplot as plt lr = linear_model.LinearRegression() X, y = datasets.load_diabetes(return_X_y=True) # cross_val_predict returns an array of the same size as `y` where each entry # is a prediction obtained by cross validation: predicted = cross_val_predict(lr, X, y, cv=10) fig, ax = plt.subplots() ax.scatter(y, predicted, edgecolors=(0, 0, 0)) ax.plot([y.min(), y.max()], [y.min(), y.max()], 'k--', lw=4) ax.set_xlabel('Measured') ax.set_ylabel('Predicted') plt.show() .. rst-class:: sphx-glr-timing **Total running time of the script:** ( 0 minutes 0.138 seconds) .. _sphx_glr_download_auto_examples_model_selection_plot_cv_predict.py: .. only :: html .. container:: sphx-glr-footer :class: sphx-glr-footer-example .. container:: binder-badge .. image:: images/binder_badge_logo.svg :target: https://mybinder.org/v2/gh/scikit-learn/scikit-learn/0.24.X?urlpath=lab/tree/notebooks/auto_examples/model_selection/plot_cv_predict.ipynb :alt: Launch binder :width: 150 px .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: plot_cv_predict.py ` .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: plot_cv_predict.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_