Question 15 of 68
Single answerCertylQ A company has deployed an XGBoost prediction model in production to predict if a customer is likely to cancel a subscription.The company uses Amazon SageMaker Model Monitor to detect deviations in the F1 score. During a baseline analysis of model quality.the company recorded a threshold for the F1 score.After several months of no change, the model's F1 score decreases significantly. What could be the reason for the reduced F1 score?
✓AConcept drift occurred in the underlying customer data that was used for predictions.
BThe model was not sufficiently complex to capture all the patterns in the original baseline data.
CThe original baseline data had a data quality issue of missing values.
Dlncorrect ground truth labels were provided to Model Monitor during the calculation of the baseline.
✓
Correct Answer: A
Concept drift occurred in the underlying customer data that was used for predictions.
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Explanation
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