Predict diabetes based on diagnostic measurements

• Analysis of Pima Indians Diabetes Data Set to predict diabetes based on diagnostic measurements using various statistical learning techniques (generalized addictive models, tree-based methods and support vector machine)
• Implement an ROC curve interactive dashboard to show the optimal cut-off threshold based on a specific True Positive Rate or False Positive Rate criterion
• Technologies: R, shinny, glmet, gam, gbm

List of files

• project.Rmd: The main project R markdown file to generate above analyses and charts.
• shinnyApp.R: The main app to run ROC curve interactive dashboard
• shinnyApp/ui.R: R file to define UI for the interactive dashboard
• shinnyApp/server.R: R file to define logic for the interactive dashboard