抄録
This paper investigates the relative efficiency of Naive Bayes classifier (BD) to Bayes decision rule, which is the optimal classification rule. Under normality, Discriminant Analysis is also optimal. This paper investigates the relative efficiency of NB compared to Bayes decision, Quadratic and Linear discriminant function. It will be seen that the efficiency of NB depends on the correlation along with the signal-to-noise-ratio (S/N) in multiplication.
