I plan to use many methods to solve the imbalanced dataset problem on the training set. But I couldn't find any paper that describes how they dealt with the test dataset? I assume that they just tested on the original dataset without any adjustments? Will I need to adjust the threshold on the test set with original imbalanced ratio?
update. Thanks for everyone's response!
I've found a paper that discusses how we should adjust the posterior probability and threshold. Calibrating Probability with Undersampling for Unbalanced Classification
However, I also believe that in practice we can just fit test set directly.