Proceedings of the Korean Society of Computer Information Conference (한국컴퓨터정보학회:학술대회논문집)

Korean Society of Computer Information (한국컴퓨터정보학회)
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Prediction of the Shelter Dog Outcome using Machine Learning Models

머신러닝을 이용한 유기견 안락사 예측

  • Lee, Ye-Seol (Dept. of Computer Science, Manchester University) ;
  • Lee, Se-Hoon (Dept. of Computer Systems & Engineering, Inha Technical College) ;
  • Keane, John (Dept. of Computer Science, Manchester University)
  • 이예슬 (맨체스터대학교 컴퓨터과학과) ;
  • 이세훈 (인하공업전문대학 컴퓨터시스템공학과) ;
  • 존킨 (맨체스터대학교 컴퓨터과학과)
  • Published : 2020.07.15
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Abstract

The number of abandoned dogs were increasing every year in South Korea. However, many dogs are euthanized in the shelter because of the lack of budget. This project predicts euthanasia of abandoned dogs using machine learning algorithm. It collects data from the public data portal where Korea government provides a public dataset as a form of open API. This project uses recent three-year data 2017 to 2019 and 263371 cases were founded. This project implements random forest and logistic regression models. This project attained an average 72% of prediction accuracy.

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