Marked out of 100 1'? Flag question A rst step towards identifying spam is to create a list of words that are more likely to appear in spam than in normal messages. For instance, words like buy or brand name are more likely to occur in spam messages than in normal messages. Suppose a list of words is available and that your data base of 4000 messages contains 1300 that are spam. Among the spam message, 1118 contain words in the list Of the 2?00 normal messages, only 135 contain words in the list. Given that the message contains words in the list, calculate the probability that a message is spam