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sheffield-collisions-models
georgep23/sheffield-collisions-models
sheffield-collisions-models is a tabular classification model from georgep23. Use it for the tabular classification task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Trained model artefacts for the Traffic-AI project: a multi-task ML pipeline over UK Department for Transport STATS19 collision records filtered to Sheffield. Includes multiclass and binary classifiers, regressors, an…
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Updated Sep 5, 2026
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At a glance
- Task
- Tabular Classification
- License
- mit
- Access
- Public
- Created
- Sep 5, 2026
- Updated
- Sep 5, 2026
- SHA
- 1a074da0
Model card
From the Hugging Face model README
Sheffield Road Collision Models
Trained model artefacts for the Traffic-AI project: a
multi-task ML pipeline over UK Department for Transport STATS19 collision records filtered to
Sheffield. Includes multiclass and binary classifiers, regressors, and clustering models saved
with pickle, plus the models.json registry that the project's CLI uses to discover them.
The folder layout mirrors the project repository, so from a clone of the code:
pip install -r requirements.txt
python -m postprocessing.hub download
python main.py
Models are educational and exploratory. Underlying data is DfT road casualty statistics, published under the UK Open Government Licence v3.0.
- Task
- Tabular Classification
- License
- mit
- Created
- Sep 5, 2026
- Updated
- Sep 5, 2026