Using the identity in Eq. (3), modify your classification code to compute the log-probability of the spam and ham classes in a numerically robust fashion. Determine the test accuracy of a classifier based on all W words in the full dataset. HINT: This classifier should take seconds (not minutes) to train and test, and be much more accurate than part (f).