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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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