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SOLVED: Task-2) Consider we are learning a linear SVM for a training dataset shown in a table below, described with two features x1 and x2, and binary target y.x1 x2 y 1 1 -1 1 5 -1 3 3 1 4 2 1 4 4 1 The classifier takes the form f(x ; w1 ; w2 ; b)=sign(w1 x1 w2 x2 b)- Draw the decision boundary of the trained SVM, and identify the support vectors.- Calculate the parameters of the trained SVM (i.e., w1, w2, b ).
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