Building a cold-horse radar: steam moves, model divergence, and honest calibration
Research & education only — not betting advice. 18+. Most "prediction" content in horse racing is storytelling. We wanted a system that answers a narrow, testable question instead: When our statistical model disagrees with the market about a horse, and the market then moves toward our model's view…
Read the full story at DEV Community — Machine Learning ↗
Timeline · 1 report
- 2026-10-04 16:54 · DEV Community — Machine Learning
Building a cold-horse radar: steam moves, model divergence, and honest calibration