Fset-285 Patched Jun 2026

If you could provide more context or clarify what "fset-285" refers to, I'd be more than happy to assist with generating relevant and accurate content.

| Item | Detail | |------|--------| | | dist_to_city_center_km | | Type | Numeric (continuous) | | Source | Geocoded latitude/longitude of the property → Haversine distance to the municipal centroid (stored in a reference table). | | Domain Rationale | Buyers pay a premium for proximity to employment hubs, amenities, and public transit. | | Predictive Power | • Mutual Information (MI) = 0.42 (top‑5 of 30 candidates). • Pearson r with price = ‑0.58 (negative correlation: closer → higher price). | | Redundancy Check | Correlation with “travel time to downtown” = 0.71 (acceptable; the two capture slightly different aspects). | | Stability | Feature importance (Mean Decrease Impurity) across 5‑fold CV: 0.13 ± 0.02 (stable). No significant drift over the last 12 months (Kolmogorov‑Smirnov p = 0.78). | | Data Quality | fset-285

A feature that ticks of the above (including predictive power) can be confidently called informative for most practical purposes. If you could provide more context or clarify

: A Wisconsin-based program designed to help FoodShare members find jobs through skills training and work experience. NFPA 285 | | Predictive Power | • Mutual Information (MI) = 0