(Choose 1 answer)
A. (1)
B. (II)
C. (III)
D. (IV)
Suppose that for some linear regression problem (say, predicting housing prices as in the lecture), we have some training set, and for our training set we managed to find some 0, 0, such that J.(0.01)=0.Whichof the statements below must then be true? (Check all that apply.)
(1)For this to be true, we must have 0 for every value of 1 1,2,..., m.
(II)For this to be true, we must have 0 0 and 0,0 so that he(2)-0
(III)Our training set can be fit perfectly by a straight line,Ie, all of our training examples lie perfectly on some straight line.
(IV)Gradient descent is likely to get stuck at a local minimum and fail to find the global minimum.
El 29
