Practice question
Which finding would most significantly strengthen the argument that Deep Learning models are highly reliable tools for public health policy formulation in crash safety, despite interpretability concerns?
- 1It is discovered that complex non-linear interactions found by DL models can be easily replicated by simple manual polynomial expansions in logit models.
- 2A Deep Learning model trained solely on data from one city shows superior predictive accuracy when tested on completely different urban configurations.
- 3The marginal effects derived from Mixed Logit models are shown to vary widely and inconsistently across different temporal slices of the same metropolitan data.
- 4Researchers develop a new XAI method that provides globally consistent and statistically robust marginal effects for all deep learning features.✓
Correct answer
Researchers develop a new XAI method that provides globally consistent and statistically robust marginal effects for all deep learning features.
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