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Question 39 - AIF-C01 discussion
A company is developing a new model to predict the prices of specific items. The model performed well on the training dataset. When the company deployed the model to production, the model's performance decreased significantly.
What should the company do to mitigate this problem?
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.
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