The Efficacy of Machine Learning Programs for Navy Manpower Analysis

Abstract

This thesis investigated the efficacy of two machine learning programs for Navy manpower analysis. Two machine learning programs, AIM and IXL, were compared to conventional statistical techniques. A large manpower data set and a logistic regression equation were obtained. The same data set was used to generate models from the two commercial machine learning programs. Using a held out sub-set of the data the capabilities of the three models were evaluated. AIM generated results comparable to those of the logistic regression equation; both in number of correct predictions and computed partial effects of the independent variables. IXL had significantly fewer correct predictions than the other two models and does not support evaluation of partial effects. The author recommended further investigation of AIM's capabilities, and testing in an operational environment.... Machine learning, AIM, IXL.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1993
Accession Number
ADA267162

Entities

People

  • Daniel E. Pytel Jr

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Intelligence Software
  • Computer Programming
  • Computer Programs
  • Computers
  • Data Mining
  • Databases
  • Department Of Defense
  • Enlisted Personnel
  • Factor Analysis
  • Information Science
  • Machine Learning
  • Neural Networks
  • Regression Analysis
  • Statistics
  • Surveys
  • Training

Readers

  • Naval Personnel Management
  • Neural Network Machine Learning.
  • Regression Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks