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In imbalanced datasets, in which the sampling ratio won't Stick to the population top article statistics, you can resample the dataset in the conservative way named minimax sampling. The minimax sampling has its origin in Anderson minimax ratio whose worth is proved for being 0.5: in a binary classification, The category-sample dimensions need to be selected Similarly. This ratio can be proved being minimax ratio only underneath the assumption of LDA classifier with Gaussian distributions.
In some cases the sample designer has usage of an "auxiliary variable" or "sizing evaluate", thought to become correlated on the variable of interest, for every factor in the population.
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