Heart Failure Prediction using Voting Ensemble Classifier

Abstract

Heart is one of the most crucial organs present inside the human body which is responsible for providing our body with oxygen rich blood. Without a functioning heart human body cannot survive. This paper focuses on prediction of heart failure using machine learning algorithms and improving the accuracy of algorithms by using voting ensemble classifier. The experimental results show that the accuracy achieved by using voting ensemble classifier is more than that of individual machine learning algorithms.