Consider a binary classification problem over classes 0 and 1, where the data distribution is the following: . _ 1 with probability 1/2 x- Uniform([1, 2]) if yi = 1 31, 0 with probability 1/2, 1 Uniform([2, 1]) if 321 = 0. Note that the feature vector, x, is one dimensional, and the class label y is either 0 or 1. Consider the following predictor: If x 2 t, predict class 1; otherwise, predict class 0. (a) Analytically compute and plot the recall of this predictor as a function of t. Express your answer in the form of a piecewise function of the following form value 2 g t