Classification of Heart Disease Using Various Classification Techniques
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 5
Abstract
Day by day research work is going to their ace point and tense to become perfection. Medical science is one of the broad area for research. Heart disease is one of the serious disease facing by human society. In this paper we analysis the Random Forest(RF), C4.5, Simple Cart(SC), Bayes Net (BN), Multilayer Perceptron(MLP), Random Tree (RT) and REP Tree algorithms to recognize the heart disease. We analysis an individual model and achieved 83.5165% of accuracy with Bayes Net in WEKA environment.
Authors and Affiliations
Bharti Dansena, Amit Kumar Dewangan
Keywords
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