"Akaike information criterion" meaning in English

See Akaike information criterion in All languages combined, or Wiktionary

Proper name

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, English entries with language name categories using raw markup, English terms with non-redundant non-automated sortkeys

Alternative forms

Download JSON data for Akaike information criterion meaning in English (1.5kB)

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This page is a part of the kaikki.org machine-readable English dictionary. This dictionary is based on structured data extracted on 2024-05-06 from the enwiktionary dump dated 2024-05-02 using wiktextract (f4fd8c9 and c9440ce). 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.