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Hyperparameter tuning
Hyperparameter tuning
General considerations for tuning.
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Definition of Hyperparameter
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What is a hyperparameter in machine learning?
A
A parameter learned during training by minimizing the loss function on the training dataset
B
A parameter that measures model performance on the validation set and is updated during evaluation
C
A parameter set before training that controls the learning process rather than being learned from data
D
A parameter that controls the architecture of the model and is fixed permanently after the first training run
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