Methodology
Model: LogisticRegression with class_weight='balanced', wrapped in CalibratedClassifierCV sigmoid calibration. Training rows are 90-day historical snapshots from 2014-2024 with a stratified calibrated holdout; 2025 is reserved for drift review. Features are inspection trajectory, license timing, ownership churn, Sunbiz status, cuisine-county closure pressure, high-turnover-area membership, and local saturation. Source data is DBPR public records plus RiskyEats enrichment files. Known limitation: historical Sunbiz status is not available for every snapshot, so the model treats missing historical status conservatively.
Holdout false-positive rate at 50% probability: 0.0%. Probabilities are calibrated estimates, not raw model scores; forecast intervals are approximate and widen when the data is sparse.