What feature does an Automated Data Prep node offer?

The Automated Data Prep node is designed to streamline the data preparation process by employing various automated transformations and cleaning techniques. One of its key features is merging categories, which helps to simplify categorical variables by combining similar or less frequent categories into broader groups. This approach aids in reducing noise in the dataset and improving the overall model performance by making the data more manageable and interpretable for modeling purposes.

While data normalization, missing value imputation, and data visualization are important components of data preprocessing, they are not exclusive features of the Automated Data Prep node. The focus on merging categories allows this tool to enhance categorical data handling effectively, making it a critical feature for preparing datasets before conducting predictive analyses.