What type of source data structure is required by MODELER?

The required source data structure for MODELER is a rectangular format. This format is essential because it organizes data in a two-dimensional structure, where each row represents a single observation or record, and each column represents a variable or feature associated with that observation. This tabular arrangement is conducive for statistical analysis and predictive modeling, as it allows models to efficiently process and interpret the data.

The rectangular structure simplifies data manipulation and enables direct comparison across different attributes, which is crucial in modeling scenarios where relationships between variables are explored. As a result, the rectangular format aligns well with the mathematical computations and algorithms employed in predictive analytics.

Other structures, such as hierarchical or array formats, do not fit the expected input paradigm of MODELER, as they may introduce complexity that does not serve the fundamental requirements of analytical procedures. A concurrent data structure typically refers to scenarios of parallel processing, which is not the primary concern when preparing data for modeling in this context.