機械学習エンジニア アソシエイト問題演習
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A company deploys an XGBoost predictive model in production to predict whether customers are likely to cancel their subscriptions. The company uses Amazon SageMaker Model Monitor to detect deviations in F1 scores. During baseline analysis of model quality, the company records thresholds for F1 scores. After several months of no change, the model's F1 score dropped significantly. What could be the reason for lower F1 scores? A company deploys an XGBoost predictive model in production to predict whether customers are likely to cancel their subscriptions. The company uses Amazon SageMaker Model Monitor to detect deviations in F1 scores. During baseline analysis of model quality, the company records thresholds for F1 scores. After several months of no change, the model's F1 score dropped significantly. F1 スコアが低い理由は何でしょうか?
次のうち、正しいものを1つ選んでください。