Kizspy | Question: 28
(Choose 1 answer)
In SVM, what is the purpose of support vectors?
A. They are used to define the margin between classes.
B. They are outliers that are ignored during training.
C. They are the data points that lie closest to the decision boundary.
D. They are the weights assigned to features in the input data.
