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

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

 
9781977407023: U.S. Air Force Enlisted Classification and Reclassification: Potential Improvements Using Machine Learning and Optimization Models
Softcover
ISBN 10: 1977407021 ISBN 13: 9781977407023
Publisher: RAND Corporation, 2022

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.

"synopsis" may belong to another edition of this title.

Publisher
RAND Corporation
Publication date
2022
Language
English
ISBN 10 
1977407021
ISBN 13 
9781977407023
Binding
Paperback
Number of pages
142