Computer scienceData scienceMachine learningIntroduction to machine learning

Hyperparameters

Role of hyperparameters in machine learning models

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Which of the following correctly describes the role of hyperparameters in machine learning models?

Select one or more options from the list

Hyperparameters are learned from the data during training.

Properly tuned hyperparameters can help avoid underfitting or overfitting in the model.

Hyperparameters determine the speed and convergence of model training.

Hyperparameters have no influence on a model's performance.

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