Which of the following best describes the classification summary in relation to industry standards?

The classification summary is a concise report that shows how well a model divides data into categories, using the same metrics and terminology that industry professionals expect. It usually lists accuracy, precision, recall, and confusion matrices, so anyone can compare the results against accepted benchmarks. By following standard definitions, the summary lets stakeholders quickly judge whether the model meets the required performance thresholds. For example, if a fraud‑detection model reports 95 % accuracy and 0. 8 recall, a manager can immediately see it aligns with typical financial industry standards.