AI Glossary
The complete dictionary of Artificial Intelligence
162
categories
2,032
subcategories
23,060
terms
terms
Probability Binning
A discretization process that groups probabilistic predictions into contiguous intervals to facilitate the analysis and visualization of calibration at different confidence levels.
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Decision Calibration
A specific type of calibration that ensures binary decisions based on a probability threshold maintain an error rate consistent with the predicted probabilities.
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Bayesian Binning
A probabilistic calibration method that uses Bayesian principles to estimate the posterior distributions of error rates in each bin, incorporating uncertainty.
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Prior Calibration
The process of adjusting the model's a priori probabilities to match the actual class distributions in the target population.
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