A subset of the data set aside to guage the accuracy and bias of training data.
Incorrect. This data is called testing data.
The core part of an operating system that manages system resources and allows software to interact with hardware.
While technically correct, this particular kernal is more of a focus in Operating Systems courses. The definition of kernal in this chapter relates to Data Science and SVMs.
A function that separates data into two or more labels.
Incorrect. This is the definition of a separation function.
A mapping function that transforms data into a higher-dimensional space.
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 kernlab svm technology. There is a dataset called promotergene that is built into the kernlab package. You could also load up your own data set and try creating an svm model from that.