Construct · 1 fields · 1 citations

expected calibration error: a standalone construct

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Machine learning

a calibration measure that bins predictions by confidence and averages the gap between mean confidence and observed accuracy across bins.

In machine learning, expected calibration error refers to a calibration measure that bins predictions by confidence and averages the gap between mean confidence and observed accuracy across bins. This meaning comes from Pakdaman Naeini (2015) in Proceedings of the AAAI Conference on Artificial Intelligence.[1]

Unit
Recovery means
Measured by

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Nearby constructs

accuracy3 fields · 6 citationsjingle · one word, three constructs calibration3 fields · 5 citationsjingle · one word, three constructs confidence4 fields · 5 citationsjingle · one word, four constructs

References

Pakdaman Naeini, M., Cooper, G., & Hauskrecht, M. (2015). Obtaining Well Calibrated Probabilities Using Bayesian Binning. Proceedings of the AAAI Conference on Artificial Intelligence, 29(1). https://doi.org/10.1609/aaai.v29i1.9602

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