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Data organized into discrete categories or *classes* may present problems for certain analyses if the number of observations ($n$) belonging to each class is not constant across classes. Classes with unequal $n$ are *unbalanced*.

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Sampling in case of imbalanced dataset [duplicate]

From a course of AI for Medical Diagnosis, it is explained that validation and test sets should be balanced, 50-50 cases of both cases 0 and 1, so that the performance of the model can be assessed. Bu …
Félix Francisco Enríquez Romer's user avatar