What are proper scoring rules in probabilistic evaluation?

Proper scoring rules incentivize truthful probability predictions.

A scoring rule is proper if the best strategy for a model is to output true probabilities. Examples include log loss and Brier score. They are essential in probabilistic forecasting because they prevent gaming of evaluation metrics.