Stroke prediction model

This project used RStudio to build a machine learning algorithm used to predict whether a person would develop a stroke based on their average glucose level. 3 different models were created and the best model chosen, which performed to an accurate of 96% and 95% confidence intervals of 95%, 98% respectively.