Reproducible AUC Evaluation Harness

Develop a standalone evaluation script or function that takes the trained model's weights and the test data, then computes the AUC score using standard libraries (e.g., scikit-learn). The harness should be robust, handle large datasets, and be capable of being executed reproducibly. Document any specific steps, configurations, or environment considerations needed for consistent and accurate AUC measurement.