1. How does sensitivity analysis shed light on the black box (i.e., neural networks)?
2. Why would someone choose to use a black-box tool like neural networks over theoretically sound, mostly transparent statistical tools like logistic regression?
3. In this case, how did neural networks and sensitivity analysis help identify injury-severity factors in traffic accidents?