Look up the term “confusion matrix” and then follow-up on some other terms such as Type I error, Type II error, sensitivity, and specificity. Think about how the support vector machine model could be modified to do better at either sensitivity or specificity.
For a super challenge, try using another dataset with the kernlabksvm() technology. There is a dataset called promotergene that is built into the kernlab package. You could also load your own dataset and try creating an SVM model from that.
