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For this problem, assume that we are training an SVM with a linear kernel and b quadratic kernel (i.e., our kernel function is a polynomial

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For this problem, assume that we are training an SVM with a linear kernel and b quadratic kernel (i.e., our kernel function is a polynomial kernel of degree 2). You are given the data set presented in Figure 1. The slack penalty C will determine the location of the separating hyperplane. Please answer the following questions for both linear kernel and quadratic kernel. Give a one sentence answer justification for each and draw your solution in the appropriate part of the Figure at the end of the

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