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If signs of performance degradation over time are observed in a fraud detection model in production, what is the most appropriate course of action?
①Increase the number of model parameters.
②Change only the learning rate.
③Establish a continuous monitoring and periodic retraining pipeline.
④Instantly replace the running model with a different architecture.
⑤Add a preprocessing step to normalize the input data.