Evaluation model of light pollution level based on ID3 decision tree

Authors

  • Xin Wang
  • Xinshe Qi
  • Xinwei Gao
  • Cuicui Gao
  • Na Wang
  • Shasha Wu

DOI:

https://doi.org/10.62051/15xh9t18

Keywords:

Topsis, ID3 decision tree, PCA, SHAP, light pollution.

Abstract

This article solved the problems like quantitative model of light pollution degree is established; we decision three model is used to predict the risk levels of light pollution in four different regions. In this paper, 16 evaluation indexes are selected, which are analyzed and processed by simple data reduction, and 5 indexes which have great influence factors and are widely concerned are selected. The classification model of light pollution level based on ID3 decision tree was established to evaluate the light pollution level of each region.

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References

Liu M. (2012). Study on Evaluation Indexes and Methods of Light Pollution in Urban Lighting Planning. ( Dalian University of Technology ).

Liu T Y. Light pollution treatment: a two-way study of domestic practice and foreign experience [J]. Journal of Northwest University for Nationalities (Philosophy and Social Sciences Edition), 2022,(1): 109-116

ZHANG C H. (2020). Research on the application of quantitative trading strategy model. (Master dissertation, Yunnan University of Finance and Economics).

SUN,W.W. ,&Hu,Y. M.,&Liu,X.C. (2005).Soil quality grade evaluation based on decision tree . (South China Agricultural University).

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Published

19-03-2024

How to Cite

“Evaluation model of light pollution level based on ID3 decision tree” (2024) Transactions on Environment, Energy and Earth Sciences, 1, pp. 34–41. doi:10.62051/15xh9t18.