Model Decay

Model decay refers to the gradual decline in a model’s performance over time due to changes in input data, external conditions, or evolving business needs. As the model becomes less aligned with current data patterns, its predictions or decisions may become inaccurate. Continuous monitoring and periodic updates are required to detect and correct model decay.

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