Why do you need to split a machine learning dataset into training data and test...

Vendor: Google
Product: Professional-Data-Engineer
Update on: Jan 31, 2026
Questions: 387

Google Professional-Data-Engineer Question Answer

Why do you need to split a machine learning dataset into training data and test data?

So you can try two different sets of features

To make sure your model is generalized for more than just the training data

To allow you to create unit tests in your code

So you can use one dataset for a wide model and one for a deep model

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