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