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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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Selection bias and reliability

I need a bit of help with interpretation of classification results. I have unbalanced data set (80% = 0 20% = 1), fitting classifiers (SVM, GradientBoosting or kNN) on such data does not yield good r …
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