What does "replacement" mean in imbalanced learn RandomOverSampler?

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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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