A class imbalance problem occurs when there are:
Class imbalance refers to a situation in a classification dataset where the number of samples belonging to one class significantly differs from the number of samples belonging to other classes — that is, an unequal distribution of samples across classes. This imbalance can bias model training toward the majority class and is unrelated to sample quality or clustering balance equations.
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