[vinn124]

how does this solve anything? if a simple decision tree could predict the outputs of more complex deep nets, why not use the decision tree in the first place? also, what do you do when a decision tree isnt powerful enough, as in the case of many interesting problems such as speech, computer vision, etc.

[philipodonnell]

The uses cases for this were around fraud detection systems where you need to provide a reason for the flag.

I don't have to know the complexities of how all the factors are interacting within a neural net to be able to tell someone that if they increased their credit score by 100 points, they'd be approved.