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Named after the Japanese statistician Hirotsugu Akaike, who formulated the criterion.
Etymology from Wiktionary, CC BY-SA 4.0.
Akaike information criterion
Today it means: An estimator of prediction error and thereby relative quality of statistical models for a given data set, founded on the principles of information theory. Full definition →