Which SAS Enterprise Miner tool is used to exclude observations such as outliers?

The Filter tool is specifically designed to manage data in SAS Enterprise Miner, allowing users to include or exclude observations based on defined conditions. When you want to exclude outliers or other specific observations from your analyses, the Filter tool provides the functionality to do so by applying criteria that can be set to determine which records should be retained or removed.

This capability is essential for preparing data for modeling because it enables you to focus on the most relevant and clean portion of your dataset, thereby improving the accuracy and effectiveness of your models. By filtering out outliers, you can help ensure that the insights generated from the data are not skewed or distorted by extreme values that do not represent the underlying trends or patterns.

In contrast, while the Input Data tool is used for importing and setting up datasets, the Data Partition tool is meant for splitting data into training, validation, and test sets for modeling purposes. The Explore window is primarily used for visualizing and examining data rather than for the exclusion of observations based on criteria.