Microsoft Azure AI Fundamentals — Question 51

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

Answer options

• 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

Correct answer: C

Explanation

The correct answer, C, highlights the importance of evaluating the model using unseen data to ensure it generalizes well. Options A and B suggest training methods that do not address the necessity of testing on separate data, which is crucial for assessing a model's real-world performance.