I updated the R code to accompany Chapter 2-4 of the book “Real-World Machine Learning” by Henrik Brink, Joseph W. Richards, and Mark Fetherolf to be more consistent with the listings and figures as presented in the book.
rwml-R Chapters 2-4 updated
The most notable changes to rwml-R are for Chapter 4, where
multiple ROC curves are
plotted for a 10-class classifier and a tile plot is generated for
a tuning parameter grid search.
Also, for parallel computations, the
doMC package was replaced with
Plotting a series of ROC curves
To be consistent with the approach followed in the book, I’ve added listings
of R code to compute the
ROC curves and AUC values “from scratch” instead of using the
package as was done previously:
Tuning model parameters in Chapter 4
caret package is used to tune parameters via grid search
for the Support Vector Machines model with a Radial Basis Function Kernel.
summaryFunction = twoClassSummary
ROC curve is used to select the optimal
model. For consistency with the book, tile plots were added to illustrate the
process of refining
the grid for the parameter search. The tile plot for the second (refined)
grid search is below.
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