Prediction of Heart Disease using Decision Tree over Logistic Regression using Machine Learning with Improved Accuracy

Aim: Predicting heart disease using the Decision Tree and comparing its feature extraction precision with the Logistic Regression algorithm for improving the accuracy of the prediction. Methods and Materials: In the proposed work, predicting heart disease was carried out using machine learning algorithms such as Logistic Regression (n=10) and Decision tree (n=10). Here the pretest power analysis w…