Sketching our roadmap

This chapter will show us how we can come up with a decent classifier in a domain that is outside our comfort zone. For one, we will have to use sound-based features, which are much more complex than the text-based ones that we have used before. And then we will have to learn how to deal with multiple classes, whereas we have only encountered binary-classification problems up to now. In addition, we will get to know new ways of measuring classification performance.

Let us assume a scenario where we find a bunch of randomly named MP3 files on our hard disk, which are assumed to contain music. Our task is to sort them according to the music genre into different folders such as jazz, classical, country, pop, rock, and metal.