model-monitoring

Vocabulary Word

Definition

'Model monitoring' is a lot like a gym coach who's keeping eye on your workouts. Here, it refers to observing and evaluating the performance of the machine learning models.

Examples in Different Contexts

In machine learning ops (MLOps), 'model monitoring' is the practice of tracking model performance and health in real-time. An MLOps engineer might say, 'Through model monitoring, we can detect and address performance degradation quickly.'

Practice Scenarios

Tech

Scenario:

The algorithm's accuracy has been fluctuating in the recent past, which is impacting the system's performance.

Response:

You're right. We should ramp up the model monitoring to spot any decrease in the algorithm's accuracy.

Business

Scenario:

Recently, our predictions about loan defaults have been a bit off. It seems the model cannot handle the increasing complexity of data.

Response:

I think it's best if we start model monitoring to examine the risk model's predictive accuracy.