When training a model, why should you randomly split the rows into separate subsets?

A. to train the model twice to attain better accuracy

B. to train multiple models simultaneously to attain better performance

C. to test the model by using data that was not used to train the model










 

Suggested Answer: C



This question is in AI-900 Microsoft Azure AI Fundamentals Exam
For getting Microsoft Certified: Azure AI Fundamentals Certificate





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