>While it's hard to interpret a random forest, it's still much more interpretable than a neural network Depends on the domain. The first layer or two of a neur

>While it's hard to interpret a random forest, it's still much more interpretable than a neural network Depends on the domain. The first layer or two of a neural network can be fairly interpretable on image or spectrogram (sound) data, for example.