Microsoft Naive Bayes is a classification supervised learning. This data set can be bi-class which means it has only two classes. Whether the patient is suffering from dengue or not or whether your customers are bike buyers or not, are an example of the bi-class data set. There can be multi-class data set as well.
Let us take the example which we discussed in the previous article, AdventureWorks bike buyer example. In this example, we will use vTargetMail database view in the AdventureWorksDW database.
During the data mining algorithm wizard, the Microsoft Naive Bayes algorithm should be selected as shown in the below image.
Of mild interest is that it’s a two-class classifier here, but it’s a multi-class classifier in the (much) later ML.NET.