What is the role of a validation set in supervised learning?

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Question: What is the role of a validation set in supervised learning?

Options:

Correct Answer: To tune hyperparameters and prevent overfitting

Solution:

The validation set is used to tune hyperparameters and assess the model\'s performance during training, helping to prevent overfitting.

What is the role of a validation set in supervised learning?

What is the role of a validation set in supervised learning?

Step 1: In supervised learning, we train a model using a training set, which contains input data and the correct output.
Step 2: A validation set is a separate part of the data that is not used during training.
Step 3: The validation set helps us check how well the model is performing while we are still training it.
Step 4: We use the validation set to adjust settings called hyperparameters, which can improve the model's performance.
Step 5: By using the validation set, we can see if the model is learning well or if it is just memorizing the training data (this is called overfitting).
Step 6: The goal is to make sure the model works well on new, unseen data, not just the data it was trained on.

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