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DOC fix the strategy used for multiclass in IHT #1013

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Jul 10, 2023
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Original file line number Diff line number Diff line change
Expand Up @@ -83,8 +83,8 @@ class InstanceHardnessThreshold(BaseUnderSampler):
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The method is based on [1]_.

Supports multi-class resampling. A one-vs.-rest scheme is used when
sampling a class as proposed in [1]_.
Supports multi-class resampling. We will go through each individual class to select
the samples with the highest probability to be correctly classified.
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I'd rephrase like this:

Supports multi-class resampling: from each class to be under-sampled, it retains the observations with the highest probability of being correctly classified.

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I rephrase an pushed in master.


References
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