Evaluation model of light pollution level based on ID3 decision tree
DOI:
https://doi.org/10.62051/15xh9t18Keywords:
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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