If this kind of control system interests you, check out Chimera [0]. It is a similar approach that the output of the machine learning approach can go to a human

If this kind of control system interests you, check out Chimera [0]. It is a similar approach that the output of the machine learning approach can go to a human, but is interesting because the human can feedback to the machine learner. That is, not only can the human see that the machine learner was wrong and write rules to correct it next time, but the learners can utilize that new training data to better classify in the future as well. Of course its a tradeoff, because it seems like false negatives (movie had QoE problems but ML system did not flag it) should be avoided at all costs in this case. http://pages.cs.wisc.edu/~anhai/papers/chimera-vldb14.pdf http://pages.cs.wisc.edu/~anhai/papers/chimera-vldb14.pdf