Question: A dataset has three discrete attributes with values X = {x 0 , x 1 ), Y = {y 0 , y 1 ), Z

A dataset has three discrete attributes with values X = {x₀, x₁), Y = {y₀, y₁), Z = {z₀, z₁). Using Naive Bayes to predict X given Y and Z as features. How many parameters are needed to learn with Naive Bayes classifier?

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