What is the primary use of scoring modules created by the Score tool?

The primary use of scoring modules created by the Score tool is to apply predictions outside of SAS Enterprise Miner. When you build a predictive model within SAS Enterprise Miner, you might want to use that model in different applications or environments, such as in a production system or for integrating with other software that is not directly linked to SAS.

The scoring module encapsulates the logic and algorithms of the model, allowing users to score new data inputs according to the established model without having to recreate the entire modeling process each time. This functionality is essential for organizations that aim to leverage predictive analytics in their operational systems, providing the ability to apply valuable insights gained from the analysis directly to real-world data.

In contrast, options related to data cleaning, generating new datasets, and visualizing data do not align with the specific purpose of the Score tool, which is mainly focused on facilitating the application of predictive models to new datasets.