Prediction of heart disease using machine learning
Data mining, Heart Disease Prediction, Naïve Bayes Classifier, Decision tree Classifier
The prosperous test of information mining in exceptionally obvious fields like promoting, e-business, and retail has prompted its application in different divisions and enterprises. Medicinal services is being found among these territories. There is an extravagance of information accessible inside the social insurance frameworks. In any case, there is a shortage of auxiliary investigation execute to discover obnubilated connections in information. This exploration expects to give an itemized depiction of Naïve Bayes and choice tree classifier that are applied in our examination solidly in the forecast of Heart Disease. Some test has been directed to coordinate the execution of prescient information handling strategy on a proportional dataset, and in this way the result uncovers that bring Tree beats over Bayesian assignment.