{"title":"Evaluating Machine Learning Techniques for Predicting Customer Churn in E-Commerce: A Comparative Analysis","authors":"","doi":"10.33168/jliss.2024.0627","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":472970,"journal":{"name":"Journal of logistics, informatics and service science","volume":" 30","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of logistics, informatics and service science","FirstCategoryId":"0","ListUrlMain":"https://doi.org/10.33168/jliss.2024.0627","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}