Suppose you are running gradient descent to fit a logistic regression model with 0 E R+1, Which of the following is a reasonable way to make sure the learning rate c is set properly and that gradient...

Extracted text: Suppose you are running gradient descent to fit a logistic regression model with 0 E R+1, Which of the following is a reasonable way to make sure the learning rate c is set properly and that gradient descent is running correctly? Plot J(0) as a function of 0 and make sure it is convex. O b. Plot J(8) as a function of 0 and make sure it is decreasing on every iteration. O* Plot /(0) = -E [y®logho(x") + (1 – y®) log (1 – ħø(x"))] a a function of the number of iterations and make sure J(0) is decreasing on every iteration. O d. Plot J(8) =E(h,(x®) – y®)² as a function of the number of iterations (i.e. the horizontal axis is the iteration number) and make sure J(8) is decreasing on every iteration.