Which of the following would you create to develop a predictive model?

Creating a predictive model in the context of SAP HANA typically involves the use of a flowgraph. Flowgraphs allow users to visually design and manage complex data processing workflows. They enable the combination of various analytic and data manipulation steps—such as data preparation, model training, and prediction—into a cohesive process.

Flowgraphs can process large datasets and integrate different algorithms, making them highly suitable for developing predictive models. By drawing on various nodes that represent different operations (like data cleansing, model training, and scoring tasks), a flowgraph facilitates an organized approach to building and deploying predictive analytics models.

While functions, decision trees, and procedures play significant roles in many aspects of data handling and analytics, they do not encapsulate the same level of overall functionality tailored specifically for predictive modeling workflows as flowgraphs do. Functions may typically perform specific tasks within the model or data manipulation, decision trees are often utilized as one type of predictive model rather than a framework for developing the entire process, and procedures can encapsulate logic but lack the visual and step-by-step construction aspect provided by flowgraphs.