Modeling is the process of applying algorithms to data to seek out, identify, and display patterns.

• A. True
• B. False
• C. Not applicable
• D. Not sure

Answer: (A)

Modeling means using algorithms on data to uncover patterns, relationships, and structure, and often to make predictions or decisions based on those patterns. It involves choosing an appropriate modeling approach (such as regression, classification, clustering, or association), training the model on data, and interpreting the results to see how features relate and how the system behaves. The outputs—whether predicted values, decision boundaries, or patterns shown in charts and summaries—are all about displaying what the data reveals. Because this aligns with applying algorithms to data to seek out, identify, and present patterns, the statement is true. Choices that don’t attempt to describe this process don’t fit, and options like Not applicable or Not sure don’t define what modeling is.