Assuming there are 3 samples in the test data set: 2 1 (t) -3 --0--0--0 x(t) = x(t) 1 = -2 = 5 (Hint: e2.7) a) Apply the optimized model given above to classify each of the test samples. b) If x(t) = C3, what are the true probabilities for x(t) belongs to each class, respectively? What are the predicted probabilities with the given optimal model w* for x(t) belongs to each class, respectively? c) Please show that = 3 24 25 140 -1]" is also one optimal model with respect to the given objective function, i.e., (w) What is the predicted label for x(t), when we apply w to do the classification? = (*).