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Hyperparameters

nounid 4924·updated May 18, 2026
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the parameters that are used to either configure a ML model (e.g., the penalty parameter C in a support vector machine, and the learning rate to train a neural network) or to specify the algorithm used to minimize the loss function (e.g., the activation function and optimizer types in a neural network, and the kernel type in a support vector machine).

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Data72%llm-generatedllm:claude-haiku-4-5

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Ip65%llm-generatedllm:claude-haiku-4-5

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possessive
Hyperparameters's
pluralpossessive
Hyperparameterses'

Framework definitions

On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice1 senseview framework →
§1
the parameters that are used to either configure a ML model (e.g., the penalty parameter C in a support vector machine, and the learning rate to train a neural network) or to specify the algorithm used to minimize the loss function (e.g., the activation function and optimizer types in a neural network, and the kernel type in a support vector machine).

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