I just started to involve some predictive modeling, this is what I know about Neural network, experts please do chip in.
NN model is known to be difficult on explanations. They are useful but in many cases, we don't know why. One of the popular implementations of neural network is fraud detection in banking , you will get Yes or No for each event, however, you may not be able to explain it to your boss.
If you are aiming at obtaining a traditional model with parameters that can be explained, after first doing a neural network model, you can then try to simulate it using decision tree (regular regresion model seems to be harder to simulate NN model).
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