MNIST_Classification-Multinomial Vs Gaussian Naive Bayes

#1

i couldnt understand why is multinomial naive bayes giving better results than gaussian naive bayes

#2

hi @shalinijha219999
Multinomial Naive Bayes is used when we have discrete data (e.g. movie ratings ranging 1 and 5 as each rating will have certain frequency to represent). In text learning we have the count of each word to predict the class or label. so we have label from 0 to 9 so we use multinomial distribution

Gaussian Naive Bayes : Because of the assumption of the normal distribution, Gaussian Naive Bayes is used in cases when all our features are continuous.