How does sensitivity analysis shed light on the black box

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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?

Reference no: EM131467625

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