Skip to content

Glossary: Probability for ML

Calibrated

Also written: calibration, miscalibration

A model is calibrated when its predicted probabilities match how often things happen: among cases where it says 0.7, about 70% come true. This is separate from accuracy.

Where the book teaches it

Related terms

Reliability tableECE (expected calibration error)Temperature scaling