Undersampling

It’s the process of balancing a data set by discarding examples of the overrepresented class so that each has the same amount of examples.

A balanced data set allows a model to learn equal amounts of characteristics from each one of the classes represented in the data set, as opposed to one class dominating what the model learns.

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Machine learning in credit decisions

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