Cross-validation in machine learningMachine learning problems!!!

2 (10 points) Cross-Validation Given a training dataset Straining = {(xi, yi)},i = 1, ...,6} where ; R is the feature scalar and yi {-1, +1} is the corresponding label. The data points in the dataset Straining are given below: (21, y) = (2,-1), (x2, Y2) = (7,-1), (13, Y3) =(4, +1), (24, YA) = (1, -1), (25, Ys) =(3, +1), (X6, Y6) = (6, +1). Suppose you are training a linear classifier f(r; a, b) = sign(ax +b) with 2-fold cross- validation where sign(2) is defined as: sign(z) = { 1, 220 sign(2) = -1, z