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Reseach Article

Survey on Classification Methods using WEKA

by Meenakshi, Geetika
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 86 - Number 18
Year of Publication: 2014
Authors: Meenakshi, Geetika
10.5120/15085-3330

Meenakshi, Geetika . Survey on Classification Methods using WEKA. International Journal of Computer Applications. 86, 18 ( January 2014), 16-19. DOI=10.5120/15085-3330

@article{ 10.5120/15085-3330,
author = { Meenakshi, Geetika },
title = { Survey on Classification Methods using WEKA },
journal = { International Journal of Computer Applications },
issue_date = { January 2014 },
volume = { 86 },
number = { 18 },
month = { January },
year = { 2014 },
issn = { 0975-8887 },
pages = { 16-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume86/number18/15085-3330/ },
doi = { 10.5120/15085-3330 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:04:33.203908+05:30
%A Meenakshi
%A Geetika
%T Survey on Classification Methods using WEKA
%J International Journal of Computer Applications
%@ 0975-8887
%V 86
%N 18
%P 16-19
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In data mining classification is to accurately predict the target class for each case in the data. Decision tree algorithm is one of the commonly used classification algorithm to make induction learning based on examples. In this paper we present the comparison of different classification techniques using WEKA. The aim of this paper is to investigate the performance of different classification methods on clinical data. The algorithm tested are Bayes Network, Navie bayes, Logistic, rule jrip, and J48.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Data classification Information gain Decision tree Weka.