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Glossary: Probability for ML

Overconfident

Also written: overconfidence, underconfident

A model is overconfident when its probabilities are more extreme (closer to 0 and 1) than how often it is right. Naive Bayes tends to be overconfident; an underconfident model is the opposite.

Where the book teaches it

Related terms

CalibratedTemperature scalingNaive Bayes