基于xgboost的危化品企业风险评估模型

2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2022-10-21 DOI:10.1109/ICSESS54813.2022.9930260

Lianhai Lin, Weisi Guo, Zhiping Weng, Liqin Tian

{"title":"基于xgboost的危化品企业风险评估模型","authors":"Lianhai Lin, Weisi Guo, Zhiping Weng, Liqin Tian","doi":"10.1109/ICSESS54813.2022.9930260","DOIUrl":null,"url":null,"abstract":"In order to improve the risk identification ability and the accident prevention ability of hazardous chemical companies, a XGBoost-based risk assessment model was proposed. Model training was conducted with the data of 31,827 hazardous chemical companies in China in June 2022, verified with the data of these companies in July 2022. The accuracy of the XGBoost-based risk assessment model is over 90 percent, and the recall rate is around 80 percent.","PeriodicalId":265412,"journal":{"name":"2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"XGBoost-Based Risk Assessment Model for Hazardous Chemical Company\",\"authors\":\"Lianhai Lin, Weisi Guo, Zhiping Weng, Liqin Tian\",\"doi\":\"10.1109/ICSESS54813.2022.9930260\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to improve the risk identification ability and the accident prevention ability of hazardous chemical companies, a XGBoost-based risk assessment model was proposed. Model training was conducted with the data of 31,827 hazardous chemical companies in China in June 2022, verified with the data of these companies in July 2022. The accuracy of the XGBoost-based risk assessment model is over 90 percent, and the recall rate is around 80 percent.\",\"PeriodicalId\":265412,\"journal\":{\"name\":\"2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS)\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSESS54813.2022.9930260\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSESS54813.2022.9930260","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

为了提高危化品企业的风险识别能力和事故预防能力，提出了基于xgboost的风险评估模型。采用2022年6月全国31827家危险化学品企业的数据进行模型训练，并用这些企业2022年7月的数据进行验证。基于xgboost的风险评估模型的准确率超过90%，召回率约为80%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

XGBoost-Based Risk Assessment Model for Hazardous Chemical Company

In order to improve the risk identification ability and the accident prevention ability of hazardous chemical companies, a XGBoost-based risk assessment model was proposed. Model training was conducted with the data of 31,827 hazardous chemical companies in China in June 2022, verified with the data of these companies in July 2022. The accuracy of the XGBoost-based risk assessment model is over 90 percent, and the recall rate is around 80 percent.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS)

自引率

0.00%

发文量