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Evaluating the Performance of Classification Algorithms using Ebola Virus Dataset
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 179 - Number 38 |
| Year of Publication: 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
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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