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DOC Fix inline interpreted text start-string without end-string. (#24734)
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examples/model_selection/plot_roc.py

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# The One-vs-One (OvO) multiclass strategy consists in fitting one classifier
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# per class pair. Since it requires to train `n_classes` * (`n_classes` - 1) / 2
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# classifiers, this method is usually slower than One-vs-Rest due to its
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# O(`n_classes`^2) complexity.
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# O(`n_classes` ^2) complexity.
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#
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# In this section, we demonstrate the macro-averaged AUC using the OvO scheme
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# for the 3 possible combinations in the :ref:`iris_dataset`: "setosa" vs

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