Oversampling and undersampling in data analysis
Within statistics, oversampling and undersampling in data analysis are techniques used to adjust the class distribution of a data set (i.e. the ratio between the different classes/categories represented).
Source: Wikipedia — Oversampling and undersampling in data analysis (CC BY-SA 4.0)