In support vector machine, if more training data is added away from the support vectors, the shaded strip will:

A. become narrower
B. not change
C. become wider

Correct Answer: B

A support vector machine constructs an optimal hyperplane as a decision surface such that the margin of separation between the two classes in the data is maximized. Support vectors refer to a small subset of the training observations that are used as support for the optimal location of the decision surface. The boundary is not affected because the support vectors remain the same.