Any tips on rare event binary classification? I have a dataset where only 5% of the samples have a positive value for the outcome variable. I trained logistic regression and some other models, but most of them result in predicting negative about 99.5% of the time. Should I lower the probability threshold for acceptance so that more positives are predicted? How should I decide which threshold to use? Is there some method/model that can deal with rare events?