Article
Comparative Analysis of Machine Learning Models for Heart Disease Prediction
Heart disease is an appellation that offer a large number of heart related medical actions. The heart and its parts are directly swayed by quirky heart actions which are portrayed by various medical actions. Major health stumbling block in today’s time is health disease. Various machine learning algorithms are set in motion for heart disease prediction during recent years. The aim of this paper is scrutinizing various machine learning algorithms. Various investigations reveal that Neural networks with 15 attributes has surpassed over all other machine learning algorithms. The peroration obtained from the investigation states that decision tree is considered when there is a complex dataset and has shown good accuracy with the aid of genetic algorithm
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