concept:proper-scoring-rules

Proper Scoring Rules

Proper Scoring Rules in the context of production machine-learning systems.

Lessons

Formal explanations, examples, simulations, and checkpoints.

Select metrics from the prediction target, decision, error costs, prevalence, slices, horizon, and deployment constraints—not from habit.

Dependency-authoritative learning units.

Reported facts and course reconstructions.