Consider a model with one binary class variable Y and n k-ary features F 1 , F

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Consider a model with one binary class variable Y and n k-ary features F1, F2, . . . , Fn

a. How many parameters are required to represent the full joint distribution P(Y, F1, F2, . . . , Fn) in tabular form, given no conditional independence properties?

b. How many are needed when the naive Bayes model is applicable?

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