R code to accompany Real-World Machine Learning (Chapter 4)

Abstract In the latest update to the rwml-R Github repo, I provide R code to accompany Chapter 4 of the book “Real-World Machine Learning” by Henrik Brink, Joseph W. Richards, and Mark Fetherolf. Topics covered include optimization of model parameters via grid search with caret, plotting a confusion matrix with ggplot2, and generating ROC curves with ROCR. This blog post provides a summary and some examples of the code contained in the update. rwml-R project pages posted For convenience, I’ve created a project page for rwml-R to postthe generated HTML filesfrom knitr. This (and Chapter 2 and Chapter 3) blog postsare shortsummaries of the R code provided in the rwml-R project.Also, feel free to fork the rwml-R repoand submit a pull request if you wish to contribute. Plotting a confusion…

Link to Full Article: R code to accompany Real-World Machine Learning (Chapter 4)

Pin It on Pinterest

Share This

Join Our Newsletter

Sign up to our mailing list to receive the latest news and updates about homeAI.info and the Informed.AI Network of AI related websites which includes Events.AI, Neurons.AI, Awards.AI, and Vocation.AI

You have Successfully Subscribed!