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GroupKFold: Use stable sort to produce consistent splits across installs #28464

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GroupKFold: Use stable sort to produce consistent splits across installs #28464

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2 changes: 1 addition & 1 deletion sklearn/model_selection/_split.py
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Original file line number Diff line number Diff line change
Expand Up @@ -610,7 +610,7 @@ def _iter_test_indices(self, X, y, groups):
n_samples_per_group = np.bincount(groups)

# Distribute the most frequent groups first
indices = np.argsort(n_samples_per_group)[::-1]
indices = np.argsort(n_samples_per_group, kind="stable")[::-1]
n_samples_per_group = n_samples_per_group[indices]

# Total weight of each fold
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