Which metric is often used to monitor the performance of a deployed model?

Which metric is often used to monitor the performance of a deployed model?

Step 1: Understand that a deployed model is a machine learning model that is currently being used in real-world applications.
Step 2: Learn that monitoring the performance of this model is important to ensure it is making accurate predictions.
Step 3: Identify common metrics used for monitoring, such as accuracy, precision, recall, F1 score, and AUC-ROC.
Step 4: Realize that each of these metrics provides different insights into the model's performance.
Step 5: Conclude that all of these metrics can be important for a comprehensive evaluation of the model's performance.

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