Consider a dataset {(x,y)} where x = [xx] and y) = {0,1}, which is shown in...

  

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Consider a dataset {(x,y)} where x = [xx] and y) = {0,1}, which is shown in the figure below. Suppose we have trained a support vector machine (SVM) on the dataset, which has the decision boundary w x+b= 0, positive plane wx+b+1 and negative plane w x + b = -1. The SVM is optimized as following: Find: arg min ||w||2 W . Subject to: wx+b2+1, if y = 1 wx+b-1, if y) = 0. 1) Please draw the decision boundary, positive plane and negative plane in the figure below. 2) Calculate the w and 6 from your drawn positive plane and negative plane. Consider a dataset {(x,y)} where x = [xx] and y) = {0,1}, which is shown in the figure below. Suppose we have trained a support vector machine (SVM) on the dataset, which has the decision boundary w x+b= 0, positive plane wx+b+1 and negative plane w x + b = -1. The SVM is optimized as following: Find: arg min ||w||2 W . Subject to: wx+b2+1, if y = 1 wx+b-1, if y) = 0. 1) Please draw the decision boundary, positive plane and negative plane in the figure below. 2) Calculate the w and 6 from your drawn positive plane and negative plane.

Answer rating: 100% (QA)

To draw the decision boundary positive plane and negative plane we need to find the values of w and ... View the full answer