In the remainder of this section we describe the mathematical foundations for stopping methods based on stabilizing predictions.
we will prove that even in the worst possible case, if the Kappa agreement between two subsequently learned models is greater than a threshold T , then it must be the case that the change in performance between these two models is bounded above by 4(1−T ) .