Example using under-sampling class methods#
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.
Illustration of the definition of a Tomek link
Sample selection in NearMiss
Compare under-sampling samplers