k-Fold Cross-Validation in R

This tutorial demonstrates how to perform k-fold cross-validation in R. Binary logistic regression is used as an example analysis type within this cross-validation method. Beyond the context of training supervised statistical learning models (e.g., LASSO regression), cross-validation approaches like k-fold cross-validation are useful for evaluating the predictive performance/accuracy of more conventional statistical models, such as ordinary least squares (OLS) linear regression or generalized linear models.

For a conceptual overview of k-fold cross-validation, please see the following video:    • k-Fold Cross-Validation  .

To learn how to apply k-fold cross-validation to train a LASSO regression model, check out this tutorial:    • LASSO Regression in R (Part One)  

Other videos from my "R Tutorials" playlist can be found here:    • R Tutorials  

The data file(s) referenced in this R tutorial (and other R tutorials on this playlist) can be downloaded as a compressed (zipped) folder by visiting the following link: https://github.com/davidcaughlin/R-Tu.... Click "Clone or Download" followed by "Download ZIP".