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A manufacturing company has developed a machine learning model to automate the process of identifying and classifying different types of materials — such as metals, plastics, and fabrics — in images captured from its production line. To ensure that the model accurately differentiates between these materials and performs reliably in real-world conditions, the company needs to evaluate its performance using an appropriate method that can provide detailed insights into the model's accuracy and classification errors. Which of the following options would be the most suitable for assessing the performance of the classification model?