A COMPARATIVE STUDY OF FORECASTING CORPORATE CREDIT RATINGS USING ARTIFICIAL NEURAL NETWORKS, SUPPORT VECTOR MACHINE, RANDOM FOREST, THE NAIVE BAYES, DECISION TREE AND -NEAREST NEIGHBOR
Dalia Adel Abbas Al-Sayed, Wael Abdel Qader Awad, Mohamed Talaat Mohamed Salem
{"title":"A COMPARATIVE STUDY OF FORECASTING CORPORATE CREDIT RATINGS USING ARTIFICIAL NEURAL NETWORKS, SUPPORT VECTOR MACHINE, RANDOM FOREST, THE NAIVE BAYES, DECISION TREE AND -NEAREST NEIGHBOR","authors":"Dalia Adel Abbas Al-Sayed, Wael Abdel Qader Awad, Mohamed Talaat Mohamed Salem","doi":"10.17654/0972361724010","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":43137,"journal":{"name":"Advances and Applications in Statistics","volume":" 28","pages":""},"PeriodicalIF":0.1000,"publicationDate":"2023-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances and Applications in Statistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17654/0972361724010","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}