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In SVM terminology, what are the “support vectors”?

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In SVM terminology, what are the “support

vectors”?

The data points

that are misclassified by the hyperplane.

0%

The data points that are

farthest from the decision boundary.

0%

All the data points in the training set.

0%

The data points that lie

closest to the decision boundary (hyperplane).

100%

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