DOC Fix pos_label docstring in RocCurveDisplay
#31696
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virchan
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Jul 5, 2025
| @@ -72,8 +72,7 @@ class RocCurveDisplay(_BinaryClassifierCurveDisplayMixin): | |||
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| pos_label : int, float, bool or str, default=None | |||
| The class considered as the positive class when computing the roc auc | |||
| metrics. By default, `estimators.classes_[1]` is considered | |||
| as the positive class. | |||
| metrics. Used for labelling the axes. If `None`, not included in labels. | |||
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I was a bit confused by the wording until I ran some experiments in Jupyter. 😅
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| metrics. Used for labelling the axes. If `None`, not included in labels. | |
| metrics. If not `None`, this value is displayed in the x- and y-axis labels. |
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Reference Issues/PRs
Noticed when working on #28972
pos_labelparameter in display class init is not able to be inferpos_label(as it does not have access to estimator or predictions). Fix docstring accordinglyWhat does this implement/fix? Explain your changes.
Any other comments?