Question: Suppose you have a multi-class classification dataset with 5 possible classes and 10 binary features. How many parameters do you need to learn to fit

Suppose you have a multi-class classification dataset with 5 possible classes

Suppose you have a multi-class classification dataset with 5 possible classes and 10 binary features. How many parameters do you need to learn to fit a Naive Bayes model to this dataset? Note that this dataset is multi-class, meaning that the domain of target y value is a discrete set with four possible values. 50 105 123 54

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