When you add a classifier model to a transformation strategy, you also select a classifier algorithm. The algorithm determines how the transformation compares the classifier model data to the input data.
You can select the
Naive Bayes
algorithm or the
Maximum entropy
algorithm.
Consider the following factors when you select an algorithm:
The Maximum entropy algorithm performs a more thorough analysis than the Naive Bayes algorithm.
A mapping that uses the Naive Bayes algorithm runs faster than a mapping that uses the Maximum entropy algorithm on the same data.
Select the Maximum entropy algorithm with the classifier model that Informatica includes in the Core Accelerator.