SOLVED: Construct Naive Bayes classifier for the problem of predicting whether a document should be classified as positive Or negative using the multivariate Bernoulli distribution to model the probability of a word occurring not in class. What is p( lz ) now? Do not use smoothing:(d) [2 marks] Now, apply (add-1) smoothing to your probability estimates Under the smoothed probabilities, what is P(-Ix ) under the multivariate Bernoulli model?
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