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Glossary: ML Beyond the Basics

Calibrated

Also written: calibration, calibrated probabilities

A model is calibrated when its probabilities mean what they say: of the subscribers it scores at 20%, about 20% really cancel. This matters whenever the number itself is used, for planning or for money decisions.

Where the book teaches it

Related terms

Reliability diagramPlatt scaling (sigmoid)Isotonic calibrationBrier score