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And yes there are many probability that is 0. So it affect the posterior probability

For the data I already estimate the NA. My data has 10 covariates such as Bmi, Gender, Age, type of diabetes. For every covariates, i divided them into groups. For example, bmi we have under weight, normal, overweight and obese. And gender we have male and female. I find the possible...

For multiple class in Naive Bayes Classifier, we need to choose the class with the highest posterior probabilities. But what if we have two class with same posterior probabilities? Which class should we take?