We decide to run the kernel perceptron algorithm over this dataset using the quadratic kernel. The number of mistakes made on each point is displayed in the table below. (These points correspond to those in the plot above.)Label-1-1-1-1 1 1 1 1 1Coordinates(0,0)(2,0)(1,1)(0,2)(3,3)(4,1)(5,2)(1,4)(4,4)(5,5)Perceptron mistakes16511317230021415Define the feature map of our quadratic kernel to be(x)=[x^2,√(2)x1x2,x3]^T.Assume all parameters are set to zero before running the algorithm.Based on the t
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