A distribution-free certification framework for trustworthy crash-severity prediction
This story is from 2026-09-11. It is preserved in the archive; the latest stories are on the live feed.
arXiv:2609.11592v1 Announce Type: new Abstract: Crash-severity models inform screening, dispatch and site prioritization, yet are deployed without a finite-sample statement of what one prediction means. Off-the-shelf guarantees fail here, because the features that make crash severity distinctive de…
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- 2026-09-11 04:00 · arXiv stat.ML
A distribution-free certification framework for trustworthy crash-severity prediction
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