3) Assumer we are given with following kernel function: k (x, xª) = (1 + x¹ x)² for kernelized perceptron. Assume you are given two positive points of x₁ = and x₂ = [2] and two negative points of x3 = H] and 4 = Also assume that the [4] trained parameters are: a₁ = 2, α₂ = 1, a3 = -2, a4 = -1 for each data point and b = 0.1. Find the output of classification for the unseen point x = "

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