AUC
2 stories filed under AUC on Beyond Market Intelligence. The newest of them: “Explore how machine learning ranks 1.18 million horse racing runners” and “Evaluate oncology AI models at the threshold that truly matters for care.”. A 43.5% strike rate on the first live day of a rebuilt model is a strong opening statement. Oncothresh asks a sharper question than most oncology AI tools: how does a model perform at the exact cutoff that decides whether a patient gets flagged or treated? Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every AUC story on Beyond Market Intelligence, newest first.
Explore how machine learning ranks 1.18 million horse racing runners
A 43.5% strike rate on the first live day of a rebuilt model is a strong opening statement. This project, called Hoofs, tackles British and Irish horse racing with 1.18 million historical runner records and a firm respect for the market baseline. Beating the price is harder than building a decent model, a candid observation. For those exploring similar predictive challenges, this is a practical case study.
Evaluate oncology AI models at the threshold that truly matters for care.
Oncothresh asks a sharper question than most oncology AI tools: how does a model perform at the exact cutoff that decides whether a patient gets flagged or treated? That's the point of care, not aggregate AUC. The library brings sensitivity, specificity, PPV, NPV, bootstrap intervals, and decision-curve net benefit to that single threshold. It's dependency-light, practical, and paired with a no-code dashboard for instant analysis. For teams tired of global metrics, this is a focused step toward clinically meaningful evaluation.