A linear SVM has the equation: x + 3y + 4z – b = 0 for some b….

Question Answered step-by-step A linear SVM has the equation: x + 3y + 4z – b = 0 for some b…. A linear SVM has the equation: x + 3y + 4z – b = 0 for some b. Suppose point A is at the origin, is a support vector and its label is “red”.Consider two points: B(0, 0.3, 0) and C(0,0 0.3). Which of the following is true: both B and C can be green neither point can be green only B can be green Only C can be green   Consider N points in the plane with two labels. When using a linear SVM the accuracy is around 50%. When using a kernel transformation: (x,y)—-à (x,y, x*2+y*2) the accuracy becomes almost 100%. What is the most likely explanation? Points in the original and transformed space were highly clustered In the original data set points of 1 class were closer to the origin In the original data set points were nearly linearly separable none of the above    Computer Science Engineering & Technology Artificial Intelligence CS 677 Share QuestionEmailCopy link Comments (0)