Overview of logistic regression

Let's say that we have two classes, A and B, that we are trying to predict. Let's also suppose that we are trying to predict A or B based on a variable x. Classes A and B might look something like this when plotted against x:

Although we could draw a line modeling this behavior, this is clearly not linear behavior and does not fit the assumptions of linear regression. The shape of the data is more of a step from one class to another class as a function of x. What we really need is some function that goes to and stays at A for low values of x, and goes to and stays at B for higher values of x.

Well, we are in ...

Get Machine Learning With Go now with O’Reilly online learning.

O’Reilly members experience live online training, plus books, videos, and digital content from 200+ publishers.