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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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AUC for random classifier in case of unbalanced dataset
When there is a class imbalance, we must seek the business domain experts (if we are not) and see what they are after. are they after negative or positive data points. once that is freezed, and a go a …