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 machineSVM 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 retrain the classifier, will the decision
boundary change or stay the same? Justify your answer.
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