Naive Bayesian Classifiers - Multinomial, Bernoulli and Gaussian with Solved Examples and Laplace Smoothing

SOLVED: Train two models, multinomial naive Bayes and binarized naive Bayes, both with add-1 smoothing, on the following document counts for key sentiment words, with positive or negative class assigned as noted:d1. 3 0 3 posd2. 0 1 2 posd3. 1 3 0 negd4. 1 5 2 negd5. 0 2 0 negUse both naive Bayes models to assign a class (pos or neg) to this sentence: A good, good plot and great characters, but poor acting. Do the two models agree or disagree?