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Sampling cases with differential probability, so that classes that occur rarely in the population occur more often in the training data. Does *not* address the problems in unbalanced classes.

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Does oversampling/undersampling change the distribution of the data?

I perform oversampling/undersampling only on the train set since doing this on the test set would not represent a real-world scenario. …
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