(b)(8p) In logistic regression, the cost function for our hypothesis predicting h(x) on a training example that has label y{0,1} is: Cost(h(x),y)={logh(x)ify=1log(1h(x))ify=0 Please check as true (T) or false (F). Each incorrect answer will cost you 2 point. If h(x)=y, then cost(h(x),y)=0 (for y=0 and y=1 ). If y=0 then cost(h(x),y) as h(x)1 If y=0 then cost(h(x),y) as h(x) Regardless of whether y=0 or y=1, if h(x)=0.5, then cost(h(x),y)>0