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Predicting success in United States Air Force pilot training using machine learning techniques.

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Title: Predicting success in United States Air Force pilot training using machine learning techniques.
Authors: Jenkins, Phillip R.1 (AUTHOR) phillip.jenkins@afit.edu, Caballero, William N.2 (AUTHOR) william.caballero@us.af.mil, Hill, Raymond R.1 (AUTHOR) rayrhill@gmail.com
Source: Socio-Economic Planning Sciences. Feb2022, Vol. 79, pN.PAG-N.PAG. 1p.
Database: Business Source Ultimate
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  Availability: 0
Header DbId: bsu
DbLabel: Business Source Ultimate
An: 154790455
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Predicting success in United States Air Force pilot training using machine learning techniques.
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  Data: <searchLink fieldCode="JN" term="%22Socio-Economic+Planning+Sciences%22">Socio-Economic Planning Sciences</searchLink>. Feb2022, Vol. 79, pN.PAG-N.PAG. 1p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=154790455
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.seps.2021.101121
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      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
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      – TitleFull: Predicting success in United States Air Force pilot training using machine learning techniques.
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            NameFull: Jenkins, Phillip R.
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            NameFull: Caballero, William N.
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            NameFull: Hill, Raymond R.
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              Text: Feb2022
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              Y: 2022
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              Value: 79
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