Important read

In editing the syllabus page a week ago, some of the information on lecture 16-including links to the presentation and recording-disappeared. I have now restored that.

In the reading list for lectures 15 and 16, I included two chapters from Miroslav Kubat, An Introduction to Machine Learning. Chapter 11 Performance Evaluation is mainly a repetition of concepts well-known by now, but was included because of two important new sections, one on Learning Curves (11.4) and one on "Performance in multi-level domains". Afterwards, I recognized that I had consulted with the 2015-edition of Kubat's book. In the 2017-edition, to which the syllabus page links, this subsection is moved to chapter 13, and the section is called "13.7 Criteria for performance Evaluation". This is an important read.

Observe also, that even though we covered this section in the lecture, the published presentation does not include the formulas due to danger of violating copy rights. You have to consult section 13.7 of the book for the formulas.