Gaussian Naive Bayes classifiers: high-dimensional data.
Bernoulli & Multinomial: text classification( sparse features vector, features are a large number of distinct words)
the decision boundary the decision boundary between classes in the two-class Gaussian Naive Bayes Classifier. In general, is a parabolic curve between classes. It will be linear when the variance of these features is the same for both classes.