Support Vector Machine

What is Support Vector Machine?

Support Vector Machine (SVM) is widely used for classification (SVM also supports regression tasks). In general, SVM finds a hyperplane that separates data points with the greatest amount of margin.

The core idea of SVM is to find a maximum marginal hyperplane that divides the dataset. For a data set with two classes, if they’re linearly separable, then you can find an infinite number of hyperplanes to separate them. The SVM finds only one of these hyperplanes, which is the maximum marginal hyperplane.