 Assessment of environmental pollution in rural tourism based on random forest algorithmYi Zhao International Journal of Sustainable Development, 2024, vol. 27, issue 3, 311-324 Abstract: In order to overcome the problems of low accuracy, poor recall rate, and low evaluation time in rural tourism environmental pollution assessment, this paper proposes a rural tourism environmental pollution assessment method based on the random forest algorithm. Firstly, web crawler technology is used to collect data on rural tourism environmental pollution, mainly including garbage and waste discharge data, water pollution data, and air pollution data. Secondly, based on the collected pollution data, construct an environmental pollution assessment index system. Finally, the random forest algorithm is used to calculate the feature importance of the indicators, select the feature with the highest accuracy, and use the linear weighting method to calculate the degree of environmental pollution to obtain the evaluation results. The experimental results show that the evaluation accuracy of the method proposed in this paper is the highest at 99.6%, and the pollution level evaluation takes up to 3.5 s. Keywords: random forest algorithm; rural tourism environment; pollution level assessment; linear weighting method; low accuracy; poor recall rate; web crawler technology. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijsusd:v:27:y:2024:i:3:p:311-324 Access Statistics for this article More articles in International Journal of Sustainable Development from Inderscience Enterprises Ltd |
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