U.S. Air Force Enlisted Classification and Reclassification: Potential Improvements Using Machine Learning and Optimization Models

Robson, Sean; Lytell, Maria C.; Walsh, Matthew; Hall, Kimberly Curry; Keller, Kirsten M.; Kilambi, Vikram; Snoke, Joshua; Welburn, Jonathan W.; Roberts, Patrick S.; Hall, Owen; Mariano, Louis T.

ISBN 10: 1977407021 ISBN 13: 9781977407023

Published by RAND Corporation, 2022

Language: English

Condition: New Soft cover

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Bibliographic Details

Title

U.S. Air Force Enlisted Classification and Reclassification: Potential Improvements Using Machine Learning and Optimization Models

Publisher

RAND Corporation

Publication Date

2022

Language

English

ISBN 10

1977407021

ISBN 13

9781977407023

Binding

Soft cover

Condition

New

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About this title

Synopsis

Although most airmen successfully complete initial skills training, about 10 percent are eliminated and either separated from the United States Air Force or reclassified into other specialties. Given recent increases in reclassification, the authors set out to identify factors that affect initial skills training success and determine how classification and reclassification processes can be improved.

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