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1 parent 0fd1f4a commit 36ef673Copy full SHA for 36ef673
skore/src/skore/sklearn/_comparison/utils.py
@@ -61,15 +61,6 @@ def _combine_estimator_results(
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Metric
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Brier score ... ...
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"""
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- pd.DataFrame.from_dict(
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- {
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- "index": ["Brier score"],
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- "columns": ["LogisticRegression"],
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- "data": [[0.026683863888246822]],
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- "index_names": ["Metric"],
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- "column_names": [None],
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- }
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- )
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results = pd.concat(individual_results, axis=1)
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# Pop the favorability column if it exists, to:
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