Open AccessEvaluating the Performance of Classification Algorithms using Ebola Virus Dataset
Author(s) -
Kanika Chuchra,
Richa Vasuja,
Ayesha Bhandralia
Publication year - 2018
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/ijca2018916863
Subject(s) - computer science , ebola virus , algorithm , artificial intelligence , machine learning , virology , virus , medicine
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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