Consider the seven data samples shown in the following table, where x is the attribute and y; E {-1,1} is the class label of interest i 1 2 3 4 5 6 7 xi -3.0 -1.5 -0.2 0 0.5 2 2.5 yi 1 1 -1 -1 -1 1 1 (a) Can a support vector machine (SVM) be learned to classify the training samples based on attribute x, into the two classes without any error? Justify your answer. (b) Consider a new attribute x = x. Design an SVM of the form of f(x) = wx + b to classify the training samples based on attribute x into the two classes. Specify the values of w and b.