Regularization rate: Revision history

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18 March 2023

  • curprev 13:2713:27, 18 March 2023‎ Walle talk contribs‎ 2,995 bytes +2,995‎ Created page with "{{see also|Machine learning terms}} ==Regularization Rate in Machine Learning== Regularization is an important technique in machine learning that helps prevent overfitting, a common problem where a model performs well on the training data but does not generalize well to new, unseen data. The regularization rate, also known as the regularization parameter or hyperparameter, is a constant value used to control the strength of regularization applied to a learning algorithm...."
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