Definition
A measure of probabilistic forecast accuracy — the average squared error between predicted probabilities and actual outcomes. Lower is better; it rewards models that are both correct and well-calibrated.
Related terms
- Calibration — How well a model's stated probabilities match reality — a well-calibrated 60% pick wins about 60% of the time. Shown on a reliability curve.