Glossary

Hyperparameters

Hyperparameters are pre-set configuration settings in machine learning that guide the training process, enhancing the model’s learning efficiency and precision.

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Hyperparameter Tuning

Hyperparameter Tuning refers to the method of seeking the ideal parameters for a machine learning algorithm, enhancing model accuracy and predictive capability.

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