How do you evaluate Keras models beyond accuracy?

Evaluation includes precision, recall, F1-score, ROC-AUC, and business metrics.

Accuracy is insufficient for imbalanced or high-stakes tasks. Metrics must align with business goals such as false positive cost or ranking quality.