Class 1: (1, 1), (2, 2), (2, 0)' Class 2: (0, 0), (1, 0)', (0, 1) (1) Plot the samples in the feature space, and constru
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Class 1: (1, 1), (2, 2), (2, 0)' Class 2: (0, 0), (1, 0)', (0, 1) (1) Plot the samples in the feature space, and constru
Class 1: (1, 1), (2, 2), (2, 0)' Class 2: (0, 0), (1, 0)', (0, 1) (1) Plot the samples in the feature space, and construct by inspection the max margin linear classifier, which would be what you will get by SVM. (2) What is the margin of the SVM classifier? (3) Plot the decision line from (1)
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