= Hyperparameter
{wiki=Hyperparameter}
A hyperparameter is a configuration or parameter that is set before the training of a machine learning model begins and is not learned from the data during training. Essentially, these parameters influence the training process itself and can affect the model's performance. Hyperparameters differ from model parameters, which are the values adjusted by the learning algorithm during the training process, such as weights in a neural network.
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