What is the objective of the Transform Variables Node?

The objective of the Transform Variables Node is to apply transformations to dataset variables in order to address issues such as skewness in the distribution of these variables. This is particularly important in data preparation and preprocessing steps, as variables that are highly skewed can adversely affect the performance of many statistical techniques and machine learning algorithms. By transforming variables, such as through normalization or log transformations, the node helps to stabilize variance and make the data more suitable for analysis. This transformation facilitates better model fitting and improves the overall quality of predictions by creating a more balanced dataset that meets the assumptions of various modeling techniques. As a result, option B accurately captures the primary purpose of the Transform Variables Node within the context of data preparation in SAS Enterprise Miner.