machine learning

= (1) (5 Points) Suppose there is a single feature, denoted by X which takes values in the set {1,2,3} and a binary label Y E {0,1}. The distribution D is described as follows: 1 Pr(X = i) i {1,2} 4' 1 Pr(X = 3) 2 Pr(Y = 1|X = i) 1, ie {1,3} Pr(Y = 0|X = i) 1, ie {2} Let h be the classifier: h(x) = 1 if x > 1.5 and 0 otherwise. Calculate the error of h with respect to D. = =