What would be the minimum number of parameters required

Reference no: EM133417490

Question: Consider the problem of learning a function X→Y, where Y is Boolean. X is an input vector (X1,X2), where X1 is categorical and takes 3 values, and X2 is a continuous variable (normally distributed). What would be the minimum number of parameters required to define a Naive Bayes model for this function?

Reference no: EM133417490

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