The Microsoft Naive Bayes algorithm is a classification

algorithm provided by Microsoft SQL Server Analysis Services

for use in predictive modeling. The name Naive Bayes derives

from the fact that the algorithm uses Bayes theorem but does

not take into account dependencies that may exist, and

therefore its assumptions are said to be naive.

This algorithm is less computationally intense than other

Microsoft algorithms, and therefore is useful for quickly

generating mining models to discover relationships between

input columns and predictable columns. You can use this

algorithm to do initial explorations of data, and then later

you can apply the results to create additional mining models

with other algorithms that are more computationally intense

and more accurate.