Google Professional Data Engineer
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What is the primary reason for dividing a machine learning dataset into training and test sets?
A
To enable the testing of different feature sets
B
To ensure the model's ability to generalize beyond the training data
C
For the purpose of incorporating unit tests within your code
D
To allocate separate datasets for wide and deep model training