Monitoring Model Behavior

Understanding the behavior of machine learning models in production is crucial, especially when dealing with unlabeled data. A real-world example highlights the risks, such as a model misclassifying road signs due to environmental factors. Statistical approaches can help monitor model performance, ensuring reliable predictions even in challenging scenarios.