Assume that we have a data set consisting of two classes A and B such that the data belonging to class A and B are in the ratio 1:9. We want to train a logistic regression on the dataset.
What will you do down sample B or up sample A? Are the two options equivalent ? If the two options are not equivalent then what are advantages/disadvantages of the two options?
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