Regarding Formulae in Naive Bayes

#1

i want to ask the difference between the mutivariate and multinomial Naive Bayes

In multivariate the formulae of Conditional Probability is (Count of documents that have a particular word in all the documents that belong to a part. class c)/Count of docs in class c

and the formuale for Multinomial Naive Bayes is (term frequency of a part. word in all the documents that belong to class c)/total no. of documents

In multinomial formulae the denominator should be (all the words that belong to a document of class c)

I have confusion in this

#2

Hi @amankharb,

Being Multivariate and using Multinomial Naive Bayes are independent things.
What is multivariate? Multivariate generally means multidimensional data by considering several data variables at once. It is an extension to Univariate and Bivariate and can be used in any model (not just Naive Bayes).

Whereas, Multinomial Naive Bayes uses the Multinomial distribution to approximate the probability P(i/j) where i is a term (word) and j is class. You can read more about it here

#3

I hope I’ve cleared your doubt. I ask you to please rate your experience here
Your feedback is very important. It helps us improve our platform and hence provide you
the learning experience you deserve.

On the off chance, you still have some questions or not find the answers satisfactory, you may reopen
the doubt.