Accession Number:

AD1101488

Title:

Predicting Pilot Success Using Machine Learning

Descriptive Note:

Technical Report,01 Sep 2018,01 Mar 2020

Corporate Author:

AIR FORCE INSTITUTE OF TECHNOLOGY WRIGHT-PATTERSON AFB OH WRIGHT-PATTERSON AFB United States

Personal Author(s):

Report Date:

2020-03-01

Pagination or Media Count:

90.0

Abstract:

The United States Air Force has a pilot shortage. Unfortunately, training an Air Force pilot requires significant time and resources. Thus, diligence and expediency are critical in selecting those pilot candidates with a strong possibility of success. This research applies multivariate and statistical machine learning techniques to pilot candidates pre-qualification test data and undergraduate pilot training results to determine whether there are selected re-qualification tests or specific training evaluations that do a best job of screening for successful pilot training candidates and distinguished graduates. Flight experience, both during training and otherwise, indicates pilot training completion and performance.

Subject Categories:

  • Military Forces and Organizations

Distribution Statement:

APPROVED FOR PUBLIC RELEASE