Select the correct statement$($s$)$ from the ones given below.

a$)$ Naive Bayes models are a special case of Bayesian networks.

b$)$ Naive Bayes models are a generalization of Bayesian networks.

c$)$With no independence among the variables, a Bayesian network representing a distribution over n

variables would have n$($n$1)2$

edges.

d$)$With no independence among the variables, a Bayesian network representing a distribution over n variables would have n$1$

edges.