Machine learning algorithms have been employed to produce predictive models that would habilitate the proactive diagnosis of heart disease, such as the Heroku app. We use the Heroku app model as our baseline logistic regression model. Our baseline model has a true positive value of only 12%. With the objective of developing a better performing model, we developed two new models: a challenger logistic regression model and a random forest model.