It depends. They are not industry criteria and Mr. Gambs can correct me if I am wrong.
The success rate is used to evaluate the systems. If you are building a new system, you sometimes compare its success rate to the one for other systems or other algorithms. You are trying to create the best learning system possible. Sometimes you may find one that gives a 90% success rate, compared to others for which it is 80%.
Some researchers are working on improving the capacities of these learning systems in order to expand them or increase the success rate of predictions in terms of the output obtained.