Data Analysis with R, Second Edition - Second Edition

The circular decision boundary

The last dataset we will be looking at, like the previous one, contains a non-linear classification pattern:

Figure 10.15: A plot of the decision boundaries of our four classifiers on our fourth contrived dataset

Again, just like in the last case, the winners are k-NN and random forest, followed by the decision tree with its jagged edges. And, again, the logistic regression unproductively throws a linear boundary at a distinctively not-linear pattern. However, stating that logistic regression is unsuitable for problems of this type is both negligent and dead wrong.

With a slight change to the incantation of the ...