TidyX 149: Shiny Statistical Model Building – Train/Test split

This week, Ellis Hughes and I extend our Shiny Modeling Building episode from LAST WEEK and provide the user an opportunity to decide how much of their data to allocate to a training data set. We go through how to build a {shiny} server that can take the user inputs, separate a reactive training and test set based on those inputs, build a regression model, and make out of sample predictions.

To watch our screen cast, CLICK HERE.

To access our code, CLICK HERE.