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1 parent f8fde49 commit 0b978cbCopy full SHA for 0b978cb
examples/model_selection/plot_roc.py
@@ -298,7 +298,7 @@
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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.
+# 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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