Free MLA-C01 Web TestEngine Demo

Q17 Single choice

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 signi cantly.

What could be the reason for the reduced F1 score?

A
Concept drift occurred in the underlying customer data that was used for predictions.
B
The model was not su ciently complex to capture all the patterns in the original baseline data.
C
The original baseline data had a data quality issue of missing values.
D
Incorrect ground truth labels were provided to Model Monitor during the calculation of the baseline.

MLA-C01 Web TestEngine demo