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In a supervised learning model, what is the role of labeled training data?

It is used only to test the model after training is complete It provides input-output pairs so the model can learn the mapping between them It stores the model's weights after training It eliminates the need for a validation set

Correct Answer:

It provides input-output pairs so the model can learn the mapping between them

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