#heart disease prediction This project aims to predict the presence or risk of heart disease in a person based on their medical attributes.The project uses three machine learning algorithms to build the prediction model: logistic regression, decision tree, and random forest. The model is evaluated using the accuracy, precision, and recall metrics.