Hyperparameter tuning, hyperparameter search, hyperparameter optimisation
hyperparameter tuning Synonym
Synonyme hyperparameter tuningHyperparameter-Optimierung - Hyperparameter-Feinabstimmung - Abstimmung der Hyperparameter
Hyperparameter tuning is the process of systematically searching for the best combination of hyperparameters for a machine learning model. Unlike model parameters, which are learned directly from data, hyperparameters control how the learning process works, such as learning rate, regularization strength, or tree depth. Tuning typically uses strategies like grid search, random search, or more advanced methods such as Bayesian optimization. The goal is to maximize performance on validation data while avoiding overfitting. Proper hyperparameter tuning is crucial for achieving robust, generalizable models in practical machine learning applications.
Category: Machinelearning
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