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DOC fix typos an -> a (#23684)
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doc/modules/ensemble.rst

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highest average probability.
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The following example illustrates how the decision regions may change
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when a soft :class:`VotingClassifier` is used based on an linear Support
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when a soft :class:`VotingClassifier` is used based on a linear Support
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Vector Machine, a Decision Tree, and a K-nearest neighbor classifier::
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>>> from sklearn import datasets

doc/tutorial/statistical_inference/model_selection.rst

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.. topic:: **Exercise**
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On the digits dataset, plot the cross-validation score of a :class:`SVC`
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estimator with an linear kernel as a function of parameter ``C`` (use a
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estimator with a linear kernel as a function of parameter ``C`` (use a
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logarithmic grid of points, from 1 to 10).
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.. literalinclude:: ../../auto_examples/exercises/plot_cv_digits.py

sklearn/model_selection/tests/test_search.py

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class LinearSVCNoScore(LinearSVC):
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"""An LinearSVC classifier that has no score method."""
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"""A LinearSVC classifier that has no score method."""
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@property
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def score(self):

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