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Which metric is commonly used to evaluate model performance in MLOps?
Practice Questions
Q1
Which metric is commonly used to evaluate model performance in MLOps?
Accuracy
Mean Squared Error
F1 Score
All of the above
Questions & Step-by-Step Solutions
Which metric is commonly used to evaluate model performance in MLOps?
Steps
Concepts
Step 1: Understand that MLOps is about managing machine learning models.
Step 2: Know that evaluating model performance is important to see how well the model works.
Step 3: Learn that there are different metrics to evaluate models, such as Accuracy, Mean Squared Error, and F1 Score.
Step 4: Recognize that all these metrics can be used depending on the type of problem (like classification or regression).
Step 5: Conclude that all of the mentioned metrics are commonly used in MLOps to evaluate model performance.
No concepts available.
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