The primary goal of a linear Support Vector Machine

(SVM) is to find a decision boundary, known as a hyperplane, that:

Question

The primary goal of a linear Support Vector Machine 
 
(SVM) is to find a decision boundary, known as a hyperplane, that:

Answer

Has the maximum 
 
possible margin between the classes.

Answer

Connects the most data points between two classes.

Answer

Minimizes the number of support 
 
vectors.

Answer

Passes through the origin of the feature space.

Crowdly