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When training a model and setting parameters:

Analysis/Models/Training & Validation

Under Sampling/Sampling Method, what is the appropriate selection to get Stratified Shuffle Splits?

I am working with a very unevenly distributed labeled dataset and need to get equal sizes of classes to be able to trust the results of the model accuracy more thoroughly.
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