Journal of the Ergonomics Society of Korea (대한인간공학회지)

Ergonomics Society of Korea (대한인간공학회)
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Comparison of Classification Models for Sequential Flight Test Results

단계별 비행훈련 성패 예측 모형의 성능 비교 연구

  • 손소영 (연세대학교 컴퓨터과학, 산업시스템공학과) ;
  • 조용관 (연세대학교 컴퓨터과학, 산업시스템공학과) ;
  • 최성옥 (공군사관학교 산업공학과) ;
  • 김영준 (공군사관학교 산업공학과)
  • Published : 2002.04.30
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Abstract

The main purpose of this paper is to present selection criteria for ROK Airforce pilot training candidates in order to save costs involved in sequential pilot training. We use classification models such Decision Tree, Logistic Regression and Neural Network based on aptitude test results of 288 ROK Air Force applicants in 1994-1996. Different models are compared in terms of classification accuracy, ROC and Lift-value. Neural network is evaluated as the best model for each sequential flight test result while Logistic regression model outperforms the rest of them for discriminating the last flight test result. Therefore we suggest a pilot selection criterion based on this logistic regression. Overall. we find that the factors such as Attention Sharing, Speed Tracking, Machine Comprehension and Instrument Reading Ability having significant effects on the flight results. We expect that the use of our criteria can increase the effectiveness of flight resources.

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References

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