File: README.txt

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imbalanced-learn 0.12.4-1
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.. _under_sampling_examples:

Example using under-sampling class methods
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Under-sampling refers to the process of reducing the number of samples in the majority classes.
The implemented methods can be categorized into 2 groups: (i) fixed under-sampling and (ii) cleaning under-sampling.