Decide whether the following statements are true or false. Justify your answers.

(a) If classifier A has smaller training error than classifier B , then classifier A will have smaller generalization (test) error than classifier B.

(b) The VC dimension is always equal to the number of parameters in the model.

(c) For non-convex problems, gradient descent is guaranteed to converge to the global minimum.