To build a Random forest model on heart disease prediction dataset to predict whether the patient is suffering from heart disease or not?
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this study, an effective heart disease prediction system (EHDPS) is developed using neural network for predicting the risk level of heart disease. The system uses 15 medical parameters such as age, sex, blood pressure, cholesterol, and obesity for predicate
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The statement given in question statement is true. The method of predicting heart diseases with Random Forest using defined attributes resulted in considerable accuracy. It has been studied that the accuracy through this model can be around 85 %. This model involves several validation techniques that make a reasonable model which will help in saving the lives of many who could die from a heart attack
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