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A company has a model that accurately predicts item prices on training data, but its performance drops substantially after deployment to production. What steps should the company take to address this issue?
A
Reduce the volume of data that is used in training.
B
Add hyperparameters to the model.
C
Increase the volume of data that is used in training.
D
Increase the model training time.