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doc/modules/classification_threshold.rst
@@ -28,7 +28,7 @@ cut-off rules: a positive class is predicted when the conditional probability
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:math:`P(y|X)` is greater than 0.5 (obtained with :term:`predict_proba`) or if the
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decision score is greater than 0 (obtained with :term:`decision_function`).
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-Here, we show an example that illustrates the relation between conditional
+Here, we show an example that illustrates the relatonship between conditional
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probability estimates :math:`P(y|X)` and class labels::
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>>> from sklearn.datasets import make_classification
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