{"title":"The Role Of Decision Tree in Enhancing Predication for the Relation Between Earnings Persistence and Environmental Sustainability Disclosure Indexز","authors":"Esraa ElBatanoni, Mohamed Elrakaiby","doi":"10.21608/jdea.2023.250034.1045","DOIUrl":null,"url":null,"abstract":"The Researcher aimed in this research is to test the effect of artificial intelligence tools, represented by the decision tree, on the accuracy of the relationship between the continuity of profits and the index of disclosure of sustainable development for Egyptian companies. Through a sample of 72 companies, the researcher reached the ability of the tree to accurately interpret the change in disclosure of current sustainable development, as proven. A t-test for CPU training time showed that all classifiers were shown to have significantly lower CPU time (data processing speed) for this model after using the Artificial Intelligence tools. Which indicates the importance and efficiency of the model using the decision tree as one of the Artificial Intelligence tool based on sample of Egyptian Companies in interpreting the relationship on the accuracy of the relationship between the continuity of profits and the index of disclosure of sustainable development for Egyptian companies.","PeriodicalId":142760,"journal":{"name":"Journal of Desert and Environmental Agriculture","volume":"54 5","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Desert and Environmental Agriculture","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21608/jdea.2023.250034.1045","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The Researcher aimed in this research is to test the effect of artificial intelligence tools, represented by the decision tree, on the accuracy of the relationship between the continuity of profits and the index of disclosure of sustainable development for Egyptian companies. Through a sample of 72 companies, the researcher reached the ability of the tree to accurately interpret the change in disclosure of current sustainable development, as proven. A t-test for CPU training time showed that all classifiers were shown to have significantly lower CPU time (data processing speed) for this model after using the Artificial Intelligence tools. Which indicates the importance and efficiency of the model using the decision tree as one of the Artificial Intelligence tool based on sample of Egyptian Companies in interpreting the relationship on the accuracy of the relationship between the continuity of profits and the index of disclosure of sustainable development for Egyptian companies.
本研究旨在测试以决策树为代表的人工智能工具对埃及公司利润连续性与可持续发展信息披露指数之间关系准确性的影响。通过对 72 家公司的抽样调查,研究人员证实了决策树准确解释当前可持续发展信息披露变化的能力。对 CPU 训练时间的 t 检验表明,在使用人工智能工具后,所有分类器的 CPU 时间(数据处理速度)都明显降低。这表明,在解释埃及公司利润连续性与可持续发展信息披露指数之间关系的准确性时,基于埃及公司样本使用决策树作为人工智能工具之一的模型非常重要且高效。