Deepanshu Bhalla explains what support vector machines are:

The main idea of support vector machine is to find the

optimal hyperplane(line in 2D, plane in 3D and hyperplane in more than 3 dimensions) whichmaximizes the margin between two classes. In this case, two classes are red and blue balls. In layman’s term, it is finding the optimal separating boundary to separate two classes (events and non-events).

Deepanshu then goes on to implement this in R.

Kevin Feasel

2017-01-18

Data Science, R