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A parameter whose value is set before the learning process begins. Different model training algorithms require different hyperparameters and some don’t even require any. Given the hyperparameters, the training algorithm learns the parameters from the data. The selection of the hyperparameter can dramatically influence the time of learning and the performance of the algorithm.

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