I was expecting Type I & II from statistical theory:

"Type I error, or a false positive, is the incorrect rejection of a true null hypothesis in statistical hypothesis testing. A type II error, or a false negative, is the incorrect failure to reject a false null hypothesis"

https://en.wikipedia.org/wiki/Type_I_and_type_II_errors