To predict when to stop active learning procedure, it is logical to consider the changes of accuracy performance of the classifier as a signal to stop the learning iteration.
during the range predicted by the proposed solution, if the change of accuracy performance of the learner (classifier) is very small, we could assume that the current classifier has reached maximum effectiveness.