期刊名称：International Journal of Advances in Engineering and Management
电子版ISSN：2395-5252
出版年度：2021
卷号：3
期号：7
页码：4088-4093
DOI：10.35629/5252-030739123917
语种：English
出版社：IJAEM JOURNAL
摘要：Breast cancer is type of tumor that occurs in the tissues of the breast.It is most common type of cancer found in women around the world and it is among the leading causes of death in women.This becomes very handy, especially in the medical field where diagnosis and analysis are done through these techniques.Wisconsin Breast cancer data set is used to perform a comparison between Support vector machine,Logistic regression,Random forest classifier,K-Nearest neighbor.Based on the result of performed experiments,the Random Forest algorithm shows the highest accuracy (99.76%) with the least error rate.
