Research Article
Evaluating the Performance of Classification Algorithms using Ebola Virus Dataset
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 179 - Issue 38 |
| Published: Apr 2018 |
| Authors: Kanika Chuchra, Richa Vasuja, Ayesha Bhandralia |
10.5120/ijca2018916863
|
Kanika Chuchra, Richa Vasuja, Ayesha Bhandralia . Evaluating the Performance of Classification Algorithms using Ebola Virus Dataset. International Journal of Computer Applications. 179, 38 (Apr 2018), 26-28. DOI=10.5120/ijca2018916863
@article{ 10.5120/ijca2018916863,
author = { Kanika Chuchra,Richa Vasuja,Ayesha Bhandralia },
title = { Evaluating the Performance of Classification Algorithms using Ebola Virus Dataset },
journal = { International Journal of Computer Applications },
year = { 2018 },
volume = { 179 },
number = { 38 },
pages = { 26-28 },
doi = { 10.5120/ijca2018916863 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2018
%A Kanika Chuchra
%A Richa Vasuja
%A Ayesha Bhandralia
%T Evaluating the Performance of Classification Algorithms using Ebola Virus Dataset%T
%J International Journal of Computer Applications
%V 179
%N 38
%P 26-28
%R 10.5120/ijca2018916863
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Highly fatal Ebola virus disease has emerged in Africa and got declared as public health emergency by W.H.O. many humans got infected by the virus so mining of disease is done using WEKA tool to predict whether is died or not by analyzing various symptoms. Various classification algorithms have been used. Further to improve the accuracy rate fusion of algorithm is done using unsupervised filter in MATLAB.
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