| http://www.w3.org/ns/prov#value | - Consider evaluation data in which 1% of the examples belong to a rare target class; if the classifier predicts that every example belongs to a class other than the target class, then it achieves an accuracy of 99%, which is acceptable for many existing techniques.
|
