Azure ML Studio: Machine Learning With A Heart - Part II


Predictive Model For Heart Disease

For this experiment on Azure ML Studio, we ran our data through five different algorithms, and evaluated performance based on accuracy, precision and recall. The five algorithms used to predict heart disease are: Two Class Boosted Decision Tree, Two Class Decision Forest, Two Class Naïve Bayes Model, Support Vector Machine and Two Class Logistic Regression.

Project Documentation