The validation dataset is used to adjust model hyperparameters and prevent overfitting by evaluating the model's performance during training. It helps fine-tune the model before final testing. The training dataset is used for teaching the model, while the test dataset assesses the final performance on unseen data. Collecting new data is not related to the validation dataset's purpose.
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Microsoft Azure AI Fundamentals AI-900
Describe Fundamental Principles of Machine Learning on Azure
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