Model monitoring case study

In this final exercise, you will be presented with a complex scenario that involves a number of aspects covered in this section on Model Monitoring. Your task is to analyze the situation, identify the correct steps to take, and arrange them in the proper order to demonstrate your understanding of the concepts introduced.

Read the given scenario and sort the following steps in the correct order. This exercise is designed to test your ability to analyze a complex, real-world situation and apply the knowledge you have gained throughout the chapter.

Scenario: You are working as a machine learning engineer for a health tech company. Your team has recently deployed a proof-of-concept binary classification model for heart disease prediction in your production environment, serving it to end users. After a few weeks, you notice some inconsistencies in the predictions, and the system's performance seems to have deteriorated; a few users have also reported inaccurate results for recent data. You are asked to monitor the model and ensure that it continues to provide accurate and relevant recommendations.