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,Roberts, Patrick S,Welburn, Jonathan W,Hall, Owen,Mariano, Louis T

ISBN 10: 1977407021 / ISBN 13: 9781977407023

Published by RAND Corporation, 2022

About this Item

Seller Inventory # mon0000365184

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: paperback
• Condition: Good

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.