"Akaike information criterion" meaning in All languages combined

See Akaike information criterion on Wiktionary

Proper name [English]

Forms: the Akaike information criterion [canonical]
Etymology: Named after the Japanese statistician Hirotsugu Akaike, who formulated the criterion. Head templates: {{en-prop|def=1}} the Akaike information criterion
  1. An estimator of prediction error and thereby relative quality of statistical models for a given data set, founded on the principles of information theory. Synonyms: AIC [initialism]
    Sense id: en-Akaike_information_criterion-en-name-ux-0hbQ4 Categories (other): English entries with incorrect language header, Pages with 1 entry, Pages with entries

Alternative forms

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This page is a part of the kaikki.org machine-readable All languages combined dictionary. This dictionary is based on structured data extracted on 2024-12-15 from the enwiktionary dump dated 2024-12-04 using wiktextract (8a39820 and 4401a4c). The data shown on this site has been post-processed and various details (e.g., extra categories) removed, some information disambiguated, and additional data merged from other sources. See the raw data download page for the unprocessed wiktextract data.

If you use this data in academic research, please cite Tatu Ylonen: Wiktextract: Wiktionary as Machine-Readable Structured Data, Proceedings of the 13th Conference on Language Resources and Evaluation (LREC), pp. 1317-1325, Marseille, 20-25 June 2022. Linking to the relevant page(s) under https://kaikki.org would also be greatly appreciated.