Câu 15: AWS Certified Machine Learning Engineer - Associate MLA-C01

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?

1. A. Concept drift occurred in the underlying customer data that was used for predictions. — đáp án hiện tại
2. B. The model was not sufficiently complex to capture all the patterns in the original baseline data.
3. C. The original baseline data had a data quality issue of missing values.
4. D. Incorrect ground truth labels were provided to Model Monitor during the calculation of the baseline.