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DOC typo
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sklearn/metrics/ranking.py

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@@ -624,7 +624,7 @@ def label_ranking_average_precision_score(y_true, y_score):
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def coverage_error(y_true, y_score, sample_weight=None):
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"""Coverage error measure
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Compute how fare we need to go through the ranked scores to cover all
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Compute how far we need to go through the ranked scores to cover all
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true labels. The best value is equal to the average the number
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of labels in ``y_true` per sample.
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