Hyperparameters
nounverified·updated May 18, 2026
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).
MWE
Classifications
Entity Type
Data72%llm-generatedllm:claude-haiku-4-5
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Sensitivity
unclassified
Information Class
Ip65%llm-generatedllm:claude-haiku-4-5
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Variants
- possessive
- Hyperparameters's
- pluralpossessive
- Hyperparameterses'