If I am referring to my implementation / use of a machine learning algorithm for some task that is relevant to the job, should I always be ready to give information about the performance of the classifier, e.g. its accuracy, recall, F-measure, etc.? For a non-entry level job, I am guessing this would be rather important.
But for an entry level job, is it ok to report not so great results or should I omit the results completely and wait for the interviewer to ask me if it comes up?
I understand it may depend on the task, e.g. a 50% 'accuracy' on generating live product reviews that get voted most helpful by humans (who don't know they are machine generated) would probably turn heads, but on a simple binary classification task this number would be almost comical.
These websites suggest numbers should generally be included in a resume/cover letter to highlight achievement, but what about when they suggest not so great achievement?