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…


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