What is the importance of a validation set in machine learning?
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What is the importance of a validation set in machine learning?
A validation set is crucial for tuning model parameters and preventing overfitting. It helps assess model performance.
How does it differ from the training set?
The training set is used to train the model, while the validation set is used to evaluate its performance during training.
Can you give an example of how to use a validation set?
Sure! After training your model on the training set, you can use the validation set to adjust hyperparameters and improve accuracy.
What happens if I don't use a validation set?
Without a validation set, you risk overfitting your model to the training data, leading to poor generalization on unseen data.
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