Computer scienceData scienceMachine learningIntroduction to machine learning

Hyperparameters

Avoiding overfitting in hyperparameter tuning

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In the context of hyperparameter tuning, why is it important to reserve a separate test set for the final evaluation of your model?

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To train the model with different hyperparameters.

To select the best hyperparameters based on the model's performance.

To ensure that the model's performance is assessed on previously unseen data.

To gather more data for the project.

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