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glemaitrechkoar
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Co-authored-by: Christos Aridas <[email protected]>
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doc/metrics.rst

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The class :class:`~imblearn.metrics.pairwise.ValueDifferenceMetric` is
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implementing the Value Difference Metric proposed in
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:cite:`stanfill1986toward`. This measure is used to compute the proximity
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of two samples composed of only nominal categorical features.
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of two samples composed of only nominal values.
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Given a single feature, categories with similar correlation with the target
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vector will be considered closer. Let's give an example to illustrate this

imblearn/metrics/_classification.py

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# coding: utf-8
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"""Metrics to assess performance on classification task given class
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"""Metrics to assess performance on a classification task given class
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predictions. The available metrics are complementary from the metrics available
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in scikit-learn.
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