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1 parent d95ecbb commit 97327c7Copy full SHA for 97327c7
sklearn/metrics/tests/test_classification.py
@@ -377,7 +377,7 @@ def test_average_precision_score_duplicate_values():
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def test_average_precision_score_tied_values():
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# Here if we go from left to right in y_true, the 0 values are
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# separated from the 1 values, so it appears that we've
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- # Correctly sorted our classifications. But in fact the first two
+ # correctly sorted our classifications. But in fact the first two
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# values have the same score (0.5) and so the first two values
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# could be swapped around, creating an imperfect sorting. This
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# imperfection should come through in the end score, making it less
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