Chapter 3.2: Basic Definitions

Unless a classifiers should predict a discrete output in the end, classification models usually output scores or probablities first. We will explain why, introduce the concepts of decision regions and decision boundaries and finally differentiate two fundamental approaches to construct classifiers: the generative approach and the discriminant approach.

1Video Lecture

2Slides