Naive Bayes Classification
This method assumes that each attribute of a class is independent of other attributes, given the class.
It is given by the formula: P(Ci | E)=(P(E | Ci) *P(Ci))/(P(E))
Where Ci is the ith class.
E is the set of attributes such that - A1=v1, A2=v2...Ak=vk.
Where v1,v2.vk are values of attributes.
-Rashmi Dubey
