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Answer: Lack of model retraining
The most likely reason for the steady deterioration in model accuracy is the lack of model retraining. Since the model has not been updated since its deployment, it may no longer be capturing the current market trends and data patterns. Market conditions and sales trends can change over time, so it is crucial to retrain the model periodically to ensure it remains accurate and relevant. This ongoing maintenance helps the model adapt to new data and evolving conditions, thereby preserving its predictive performance.
Author: LeetQuiz Editorial Team
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You are responsible for managing a machine learning model that predicts sales numbers in a production system. The model's accuracy is critical for business decisions, and the production model must adapt to market changes. However, since its deployment, the model has remained unchanged, and now its accuracy has steadily decreased. Considering these circumstances, what is the most likely reason for the steady deterioration in model accuracy?
A
Poor data quality
B
Lack of model retraining
C
Too few layers in the model for capturing information
D
Incorrect data split ratio during model training, evaluation, validation, and test
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