Support vector machines

We're going to be utilizing a new classifier in this chapter, the linear support vector machine. A support vector machine is an algorithm that attempts to linearly separate data points into classes using a "maximum-margin hyperplane". This is a mouthful, so let's look at what this really means.

Suppose we have two classes of data, and we want to separate them with a line. (We'll just deal with two features, or dimensions, here.) What is the most effective way to place this line?

Support vector machines

Image from

In the preceding figure, line H1 does not effectively discriminate ...

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