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.

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#### Best Answer

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

Example:

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

Thanks @ConjugatePrior.

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