{"title":"基于 ID3 决策树的光污染等级评估模型","authors":"Xin Wang, Xinshe Qi, Xinwei Gao, Cuicui Gao, Na Wang, Shasha Wu","doi":"10.62051/15xh9t18","DOIUrl":null,"url":null,"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.","PeriodicalId":517926,"journal":{"name":"Transactions on Environment, Energy and Earth Sciences","volume":" 6","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"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\":\"10.62051/15xh9t18\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":517926,\"journal\":{\"name\":\"Transactions on Environment, Energy and Earth Sciences\",\"volume\":\" 6\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-03-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transactions on Environment, Energy and Earth Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.62051/15xh9t18\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transactions on Environment, Energy and Earth Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.62051/15xh9t18","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evaluation model of light pollution level based on ID3 decision tree
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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