{"title":"使用Weka工具包对ZeroR和J48分类器进行有效性分析","authors":"L. Sângeorzan","doi":"10.31926/but.mif.2019.61.12.2.25","DOIUrl":null,"url":null,"abstract":"A current problem is comparing the techniques for evaluating large datasets and interpretation of these data for making decisions in a better way. This paper compares two widely used classification algorithms (ZeroR, J48) from the point of view of several metrics with open source Weka tool. The experimental comparison was made on two datasets of different sizes and from different domains: business and life.","PeriodicalId":38784,"journal":{"name":"Bulletin of the Transilvania University of Brasov, Series III: Mathematics, Informatics, Physics","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Effectiveness analysis of ZeroR and J48 classifiers using Weka toolkit\",\"authors\":\"L. Sângeorzan\",\"doi\":\"10.31926/but.mif.2019.61.12.2.25\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A current problem is comparing the techniques for evaluating large datasets and interpretation of these data for making decisions in a better way. This paper compares two widely used classification algorithms (ZeroR, J48) from the point of view of several metrics with open source Weka tool. The experimental comparison was made on two datasets of different sizes and from different domains: business and life.\",\"PeriodicalId\":38784,\"journal\":{\"name\":\"Bulletin of the Transilvania University of Brasov, Series III: Mathematics, Informatics, Physics\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Bulletin of the Transilvania University of Brasov, Series III: Mathematics, Informatics, Physics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31926/but.mif.2019.61.12.2.25\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Mathematics\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bulletin of the Transilvania University of Brasov, Series III: Mathematics, Informatics, Physics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31926/but.mif.2019.61.12.2.25","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Mathematics","Score":null,"Total":0}
Effectiveness analysis of ZeroR and J48 classifiers using Weka toolkit
A current problem is comparing the techniques for evaluating large datasets and interpretation of these data for making decisions in a better way. This paper compares two widely used classification algorithms (ZeroR, J48) from the point of view of several metrics with open source Weka tool. The experimental comparison was made on two datasets of different sizes and from different domains: business and life.