U.S. Army Cadet Command Branch Prediction Model

Author

Daniel M. Krizan

Date of Award

3-2024

Document Type

Thesis

Degree Name

Master of Science in Operations Research

Department

Department of Operational Sciences

First Advisor

Phillip M. LaCasse, PhD

Abstract

The current system for providing US Army ROTC cadets their branches leaves significant uncertainty until the final pronouncement of branch assigned. This uncertainty can be alleviated by providing a prediction model for cadets to input personal data and desired branch to identify likelihood of receiving the request. This thesis produces a machine learning model capable of producing branch prediction for cadets.

AFIT Designator

AFIT-ENS-MS-24-M-085

Comments

A 12-month embargo was observed for posting this work on AFIT Scholar.

Distribution Statement A, Approved for Public Release. PA case number on file.

Recommended Citation

Krizan, Daniel M., "U.S. Army Cadet Command Branch Prediction Model" (2024). Theses and Dissertations. 7720.
https://scholar.afit.edu/etd/7720