.. _example_exercises_plot_cv_diabetes.py: =============================================== Cross-validation on diabetes Dataset Exercise =============================================== A tutorial exercise which uses cross-validation with linear models. This exercise is used in the :ref:`cv_estimators_tut` part of the :ref:`model_selection_tut` section of the :ref:`stat_learn_tut_index`. .. image:: images/plot_cv_diabetes_001.png :align: center **Script output**:: Answer to the bonus question: how much can you trust the selection of alpha? Alpha parameters maximising the generalization score on different subsets of the data: [fold 0] alpha: 0.10405, score: 0.53573 [fold 1] alpha: 0.05968, score: 0.16278 [fold 2] alpha: 0.10405, score: 0.44437 Answer: Not very much since we obtained different alphas for different subsets of the data and moreover, the scores for these alphas differ quite substantially. **Python source code:** :download:`plot_cv_diabetes.py ` .. literalinclude:: plot_cv_diabetes.py :lines: 11- **Total running time of the example:** 0.45 seconds ( 0 minutes 0.45 seconds)