Why relevant features may be unuseful in statistical recognition of two classes

The interconnection between known definitions of irrelevant and unuseful features in statistical recognition of two classes is considered. It is demonstrated that any relevant feature in the sense of a posteriori probabilities change may be unuseful regarding average error probabilities change. The necessary and sufficient conditions of usefulness of binary feature according to error probabilities decrease are established