Evaluation model of light pollution level based on ID3 decision tree

Xin Wang, Xinshe Qi, Xinwei Gao, Cuicui Gao, Na Wang, Shasha Wu
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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.
基于 ID3 决策树的光污染等级评估模型
本文解决了建立光污染程度定量模型、利用决策三模型预测四个不同地区光污染风险等级等问题。本文选取了 16 个评价指标,通过简单的数据还原分析处理,选取了影响因素大、关注度广的 5 个指标。建立了基于 ID3 决策树的光污染等级分类模型,对各地区的光污染等级进行评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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