4. Consider the following dataset, with scalar features z, and binary class labels w 1: yi1-111 A support vector machine takes the form 1 z 20 where (z, z') is the RBF kernel, (z, z')-e-(z-z')2 for > 0, and -, parameters of the classifier ,a4]T are (a) Use python to plot z versus z, and versus z, when y 3 and a [0, 0,1, 1 (b) Repeat (a) with = 0.3 and = [1,1,1,1]T. (c) Which classifier makes more errors on the training data? 4. Consider the following dataset, with scalar features z, and binary class labels w 1: yi1-111 A support vector machine takes the form 1 z 20 where (z, z') is the RBF kernel, (z, z')-e-(z-z')2 for > 0, and -, parameters of the classifier ,a4]T are (a) Use python to plot z versus z, and versus z, when y 3 and a [0, 0,1, 1 (b) Repeat (a) with = 0.3 and = [1,1,1,1]T. (c) Which classifier makes more errors on the training data