Back to feed
Reddit r/MachineLearning·

Open-Source Hong Kong Horse Racing ML Pipeline — Feedback Welcome [P]

Signal
65
Hype
25
In three linesOpen-source ML pipeline for Hong Kong horse racing prediction (HKJC). Uses LightGBM/XGBoost with out-of-sample validation, betting simulations (Quinella, Tierce, Quartet), and Kelly Criterion. Key finding: no-odds model outperforms with-odds model on Quinella ROI, suggesting mispricing in certain combinations.
Read source
Your take?
Open sourceBenchmarksTools

Summary generated by Claude — human-verified