期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2015
卷号：6
期号：2
页码：1103-1106
出版社：TechScience Publications
摘要：This paper presents a comparison among the classifiers FT, LMT, RandomForest, SimpleCart in terms of their accuracy by applying them on three completely different datasets of carcinoma, breast cancer and also the information associated with cardiovascular disease that vary greatly in their range of attributes in weka tool. The experimental results shows that there's a major distinction within the accuracy of a same algorithm once applied on three completely different datasets. The experiment shows that the accuracy differs for associate algorithm even on same dataset once the algorithm is applied for training dataset and also the testing dataset. The paper finally proposes ft algorithm as the best algorithm among the four algorithms (FT, LMT, RandomForest, SimpleCart) in terms of consistency of its accuracy for all the three datasets and that don’t have much difference between the accuracy of its training dataset and also the testing dataset. But these results are solely confined to the WEKA tool only.
关键词：Breast cancer; Carcinoma; Cardiovascular disease;Classification; Testing Dataset; Training Dataset Weka
