Sampling with/without replacement Machine Learning
noun phrase
Definition: Sampling with replacement means selected items are returned to the population before the next draw (so the same item may be selected multiple times); sampling without replacement means selected items are not returned and cannot be selected again in the same sample [IBM].
Example in context:It begins with bootstrapped sampling, where multiple subsets of the training data are created through random sampling with replacement. [ Pushkaran, Arabi 2024]
“After preprocessing, we split the data into training (70%) and testing (30%) sets via random sampling without replacement.” [Santos, Shinjo 2025]
Related terms: bootstrap sampling (with replacement), simple random sampling (often without replacement), resampling