A print-shop registration model never hits 100% on accuracy, precision, recall, or F1. Stakeholders treat that as a failed build. What should the tester explain?

A registration model that never hits 100 percent on accuracy, precision, recall, or F1 is not a failed build. Probabilistic models plus noisy data make some wrong cells expected. Testers calculate the named metrics instead of demanding a clean matrix.