Hi, i would help in the following question

2. [ID points) Consider the data points in R2 shown in the gure heloliir which are separable by a circle centered at [n'b] with radius 1'. Those samples outside the circle belong to class A [d = 1]' all other points belong to slag B {d = 1)_ {a} {4 points] Give an example of a kernel Function that can he used to transform the data from the input. space to a higher djmeuiona] feature space such that a linear decision surface can be constructed. {b} {6 points) You have the allowing three data points (1,\" (i; =1 {Class A] {1,1) dz; =1 {Class A] (0,\") do = 1 [Class B] Illustrate how your transformation in part above works on the above data points