Evaluation model of light pollution level based on ID3 decision tree

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

doi:10.62051/15xh9t18

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

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