E is the space of event of the classification problem, and For classifier g f on space E, its loss function is x 2 =x 1 and g f (x 1 , x 2 ) = +1 0 otherwise Therefore the expected risk R vote (f ) for the voting problem is equivalent to the expected risk R class (g f ) for the classification problem.
the definition of space E violates the independently and identically distributed (iid) assumption.