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

Sean Robson,Maria C Lytell,Matthew Walsh,Kimberly Curry Hall,Kirsten M Keller

U.S. Air Force Enlisted Classification and Reclassification: Potential Improvements Using Machine Learning and Optimization Models
Format
Paperback
Publisher
RAND Corporation
Country
United States
Published
30 May 2022
Pages
142
ISBN
9781977407023

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

Sean Robson,Maria C Lytell,Matthew Walsh,Kimberly Curry Hall,Kirsten M Keller

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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