3) Assumer we are given with following kernel function: k (x, x¹) = (1 + x ²)² for kernelized perceptron. Assume you are given two2[]H[]and 4 =. Also assume that thetrained parameters are: a₁ = 2, a2 = 1, a3 = -2, a4 = -1 for each data point and b = 0.1. Find the output of classification for the-3unseen point x =positive points of x₁ =and x₂ =,and two negative points of x3 =

In this problem, we are working with a kernelized perceptron model for binary classification. We…

3) Assumer we are given with following kernel function: k (x, x¹) = (1 + x²x)² for kernelized perceptron. Assume you ar positive points of #1 = [] and 22 = [2], and two negative points of 23 =[²] and TA -[²]. .Also assume trained parameters are: a₁ = 2, a₂ = 1, a3 = -2, a4 = -1 for each data point and b = 0.1. Find the output of classificat unseen point x = 3

3) Assumer we are given with following kernel function: k (x, x¹) = (1 + x²x)² for kernelized perceptron. Assume you ar positive points of #1 = [] and 22 = [2], and two negative points of 23 =[²] and TA -[²]. .Also assume trained parameters are: a₁ = 2, a₂ = 1, a3 = -2, a4 = -1 for each data point and b = 0.1. Find the output of classificat unseen point x = 3