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Hyperparameter: Difference between revisions
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{{see also|Machine learning terms}} | {{see also|Machine learning terms}} | ||
==Introduction== | ==Introduction== | ||
Machine learning involves finding the optimal set of parameters that allows the model to make accurate predictions on new data. Unfortunately, certain parameters cannot be learned from training data and must be set before training the model - these are known as | [[Machine learning]] involves finding the optimal set of [[parameters]] that allows the [[model]] to make accurate [[predictions]] on new [[data]]. Unfortunately, certain parameters cannot be learned from [[training data]] and must be set before [[training]] the model - these are known as [[hyperparameter]]s - which play a significant role in determining the model's performance. | ||
==Definition== | ==Definition== | ||