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(a) (i) Draw a set of 2-dimensional linearly separable data points with binary labels, and clearly indicate the decision boundary found by a maximum-margin classifier,
(a) (i) Draw a set of 2-dimensional linearly separable data points with binary labels, and clearly indicate the decision boundary found by a maximum-margin classifier, and at least one decision boundary that does not obtain a maximum margin but still represents a perfect classifier. (ii) Explain how it's possible to obtain such a non-maximum margin solution, using the concept of a loss function. (6 marks)
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