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Model Card · B2 — Will this event require a road closure?

Generated 2026-09-02 from reports/ — do not edit by hand.

What this model answers

Will this event require a road closure?

Caveats

  • 8.727% positive class. Read PR-AUC against that prevalence, not against 1.0 - the best family is a 4.1x lift over it.

Results

Ranked by PR-AUC ↑ (higher is better). Every family that ran is listed, including those that lost — the comparison is the deliverable. Figures are means over 5 chronological folds, ± one standard deviation.

Model Family PR-AUC ↑ ROC-AUC ↑ Brier ↓ Best F1 ↑ Fit Beats baseline
catboost gbdt 0.3615 ± 0.071 0.7684 0.0688 0.4323 3s yes
random_forest trees 0.3578 ± 0.080 0.7723 0.0712 0.4326 1s yes
lightgbm gbdt 0.3471 ± 0.060 0.7583 0.0746 0.4144 6s yes
xgboost gbdt 0.3445 ± 0.081 0.7565 0.0703 0.4093 1s yes
logistic linear 0.3304 ± 0.065 0.7584 0.0713 0.3818 0s yes
hist_gbm gbdt 0.3269 ± 0.061 0.7366 0.0724 0.3855 7s yes
extra_trees trees 0.3024 ± 0.083 0.7443 0.0734 0.3883 0s yes
prior baseline 0.0873 ± 0.015 0.5000 0.0798 0.1602 0s baseline

Best learned family: catboost at 0.3615, 4.1x the strongest baseline (prior at 0.0873).

Reproduction

make data && make ingest && make features
make train-b

Seed 42. Splits are chronological, never random.