Oversampling for rare eventThis tutorial describes the effects of oversampling on a rare event model. Suppose you are building a logistic regression model in which % of events (desired outcome) is very low (less than 1%). You need to make a treatment to make the model robust so that enough events would be used to train the model. Oversampling is one of the treatment to deal rare-event problem. Suppose you are working on a r
