Business Analytics (Learning Model)

Consider the case where the target function f : [-1, l] > R is given by f (I) = sin(1r:l:) and the input probability distribution is uniform on [1, 1]. Assume that the training set has only two examples (picked independently), and that the learning algorithm produul the hypothesis that minimizes the mean squared error on the examples. 1. Assume the learning model consists of all hypotheses of the form Me) = am. What is the expected value, {1(3), of the hypothesis produced by the learning algorithm (expected value with respect to the data set)? Express your (:r) as fix, and round a to two decimal digits only, then match exactly to one of the following answers. [8] {7(3) = 0 [b] 57(3) = 0.79:1: [c] (:1:) = 1.07.1: ['1] 57(3) = 1-533 [e] None of the above