Supervised Machine Learning

In this chapter we cover some of the basic principles of supervised machine learning. We mainly consider the two-class problem, but also cover some multiclass prediction.We introduce some of the basic concepts in machine learning such as the distance function, the socalled confusion matrix , and cross-validation. We make extensive use of the MLInterfaces package.