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DOC Fix typo in semi_supervised.rst (scikit-learn#30796)
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doc/modules/semi_supervised.rst

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@@ -40,8 +40,8 @@ this algorithm, a given supervised classifier can function as a semi-supervised
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classifier, allowing it to learn from unlabeled data.
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:class:`SelfTrainingClassifier` can be called with any classifier that
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implements `predict_proba`, passed as the parameter `base_classifier`. In
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each iteration, the `base_classifier` predicts labels for the unlabeled
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implements `predict_proba`, passed as the parameter `estimator`. In
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each iteration, the `estimator` predicts labels for the unlabeled
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samples and adds a subset of these labels to the labeled dataset.
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The choice of this subset is determined by the selection criterion. This

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