# Calibration

Calibration is the property of forecasts, and can be united with resolution into calibration-cum-resolution. If the outcome is , the the forecasts have this property, if

.

The algorithm achieves the asymptotic calibration-cum-resolution, if

for all continuous functions from some class.

In case of weather forecasts, calibration means that forecaster is good in prediction of the *probability* of rain (it was raining in 70% of the days, when the forecaster predicted 70% probability of rain).

### Bibliography

- Vladimir Vovk, Non-asymptotic calibration and resolution.
*Theoretical Computer Science*(Special Issue devoted to ALT 2005)**387**, 77–89 (2007).