This question involves the Nave Bayes algorithm in machine learning.

Question 6. Consider the data shown in the table below, where X and Y are the two attributes, and the class label is either positive (+) or negative (-): Y # of(+) records / #of(-) records 80 10 or 35 26 1 27 40 1 48 4 0 1 10 20 (a) Use Bayes theorem to answer the following: (Show all steps. Assume conditional independence.) What would be the class label for an instance for which we do not have information about the Attributes? (b) what is the class label of an instance if it is known that X-X? (c) What is the class label of an instance if it is known that X-X, and Mo