I am on imbalanced learn's documentation reading about RandomOverSampler. The documentation says that RandomOverSampler is a
Class to perform random over-sampling. Object to over-sample the minority class(es) by picking samples at random with replacement. The bootstrap can be generated in a smoothed manner.
What does a replacement mean? Does it randomly duplicates samples from minority/majority class or is it something else?
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