Solved – Naive Bayes for two continuous features

I have two features which are both continuous. How to perform a classification task based on them? I've read the Wikipedia entry on Naive Bayes, but this is only for discrete outcome and one feature.

I think I've found the solution in the same page. It might because I was dumb or being stressed :).


$$ text{posterior}(text{male})=frac{P(text{male})P(text{height}midtext{male})P(text{weight}midtext{male})P(text{footsize}midtext{male})}{text{evidence}} $$

Thanks @ConjugatePrior.

Similar Posts:

Rate this post

Leave a Comment