Linear Classifiers
Linear Classifiers¶
In chapter 1, we got a overview of how linear classifiers worked with predicting credit risk. The model was represented by a decision boundary that separate points in class (credit risk) from those that were not. We can visualize such a decision boundary as our red line below:
We know that points on the right are predicted as credit risks (“in class”) and left as non-risks (“not in class”). In this chapter, we’ll take a deeper and more technical dive into understanding what this line exactly is. Once we have this basic understanding, we’ll be able to tackle more nuanced and complicated classification problems.