Classifier Tools: A Comparative Study

被引:0
|
作者
Mirza, Heera Begum [1 ]
Ratnaparkhe, Varsha R. [1 ]
机构
[1] GECA, Dept Elect & Telecommun, Aurangabad, Maharashtra, India
关键词
Classifier; AdaBoost; Bagging; Decision Stump; Disceret_Bayes; KNN; Least-Squares; Maximum-Likelihood; VFI; Vote; ZeroR;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
this paper explores and compares different tools i.e. Classification toolbox, Pattern Recognition tools (PR tools) and Waikato Environment for Knowledge Analysis (WEKA), and different classifiers. In first step, common classifiers selected from that three tools, common datasets provided to that tools and compared the result on the basis of the accuracy. The accuracy calculated by three different methods i.e. Holdout, Cross-Validation and Resubstitution. Datasets considered from the UCI Repository. In second step, common combiner classifiers selected from PR tools and WEKA tool, and result was compared using confusion matrix. In third step, result compared with the help of accuracy, considered different classifiers from the tool.
引用
收藏
页码:1543 / 1547
页数:5
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