期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2014
卷号：5
期号：4
页码：67-69
语种：English
出版社：Ayushmaan Technologies
摘要：Classification is the most important task which is being used in various applications today. It is the mapping of data into predefined groups and classes. In machine learning, classification belongs to the act of identifying to which set of categories a given observation belongs. In practice, many classification techniques are available such as Decision Trees, KNN, SVM, rough set theory etc. In this paper, we have compared the performance of various classification techniques.
关键词：SVM;Classification;Decision Trees;KNN;Rough Set Theory
