Computer scienceData scienceMachine learningIntroduction to machine learning

Hyperparameters

Theory

Matching hyperparameter tuning methods

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Given below are some hyperparameter tuning methods and their corresponding descriptions. Match each method with the correct description:

Match the items from left and right columns
Grid Search
Random Search
Successive Halving
Trains and evaluates models with all combinations of predefined hyperparameter values.
Selects hyperparameters randomly from predefined ranges.
Eliminates low-performing hyperparameter combinations swiftly, and allocates more resources to promising ones.
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