The classification performance should be improved as the number of examples per category increases while NO new categories are introduced.
Recovery
By increasing the number of categories, it is expected that the prediction accuracy decreases. The time spent in system evolution until correcting and adjusting all current categories defines recovery.
Breakpoint
Eventually the learning agent reaches to a breakpoint where the agent is no longer able to learn more categories.