ANALYSIS OF MARINE CORPS RECRUITS IN THE DELAYED ENTRY PROGRAM
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Authors
Thornton, Johnathan L.
Subjects
Marine Corps Recruiting Command
MCRC
Delayed Entry Program
DEP
recruiting
Talent Management 2030
Force Design 2030
random forest
fiscal year
FY
MCRC
Delayed Entry Program
DEP
recruiting
Talent Management 2030
Force Design 2030
random forest
fiscal year
FY
Advisors
Yoshida, Ruriko
Date of Issue
2023-09
Date
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
This thesis aims to assist the Marine Corps in solving the problems associated with achieving the objectives outlined in Talent Management 2030, a supplement to Force Design 2030. We analyzed 35 variables derived and originated from the Marine Corps Recruiting Command’s applicant information system spanning fiscal year (FY) 15–22. This study utilized random forest models to identify the essential attributes contributing to the accurate classification of Marine Corps recruits that ship to basic training. We cross-validated nine separate random forest models against each FY testing data. The analysis revealed that our added variables significantly affected the model’s accuracy. Our added variables included the days in the Marine Corps delayed entry program, days between the date of enlistment and the initial strength test, and the applicant weight difference between the initial strength test day and ship day. Although our model demonstrated high specificity, it tended to make false positive errors when classifying applicants as shippers. When cross-analyzed, most models proved robust against each FY test data, with the exception of FY 22. Future research could explore alternative analysis methods, such as time series or survival analysis, to refine the model’s accuracy. Overall, our findings provide valuable insights into our added variables that aided in accurately classifying a Marine Corps recruit who ships to basic training and highlight areas for further investigation.
Type
Thesis
Description
Series/Report No
Department
Operations Research (OR)
Organization
Identifiers
NPS Report Number
Sponsors
Funder
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Citation
Distribution Statement
Approved for public release. Distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.