On legitimacy of a sequence of independent features of an arbitrary distribution

The necessary and sufficient conditions are studied for legitimacy of independent features of an arbitrary distribution in a classification problem with a Bayesian solution rule. A simple upper estimate is given for the probability of a classification error.