Question: Suppose that you have a linear support vector machine ( SVM ) binary classifier. Consider a point that is currently classified correctly, and is far

Suppose that you have a linear support vector machine(SVM) binary classifier. Consider a
point that is currently classified correctly, and is far away from the decision boundary. If
you remove the point from the training set, and re-train the classifier, will the decision
boundary change or stay the same? Justify your answer.

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