I am currently studying about the naive Bayes classifier and while studying it I came across a attribute **type** which is vector of **class** and **raw** but I am unable to understand what they signify and how they affect the model in predication of more accurate result.

# What is the attribute type signify in naive Bayes model

**harry**#1

**hinduja1234**#2

@harry- type attribute comes under package **e1071** in R in this **type** has two value class and raw

raw-gives conditional a-posterior probabilities for each class are returned, and the class with maximal probability.

class-gives the probabilities of each class.

Hope this helps!

Regards,

hinduja1234

**abhinavunnam**#3

The predictions can be obtained in two forms

“raw” means it gives the raw posterior probabilities for each class

eg Class A = 0.3

Class B = 0.4

Class C = 0.3

“class” gives the class with maximum probability

eg Output here will be Class B because it has the maximum posterior probability.