Recently I found this study: https://rstudio-pubs-static.s3.amazonaws.com/203258_d20c1a34bc094151a0a1e4f4180c5f6f.html#feature-engineering
In section Feature Engineering author write: “drop irrelevant features(features that do not appear at the issued time”. I don’t understand why? What’s wrong with installment or loan amount? I know that with these variables I will get a good fit of the model, which proves that a variable is associated with loan_status. Thanks for help.