Holdout data: Revision history

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20 March 2023

  • curprev 05:0405:04, 20 March 2023‎ Walle talk contribs‎ 3,533 bytes +3,533‎ Created page with "{{see also|Machine learning terms}} ==Holdout Data in Machine Learning== Holdout data is a subset of the dataset in machine learning that is separated from the training data and is used to evaluate the performance of a model during the model selection process. Holdout data helps to identify potential issues such as overfitting and provides an unbiased estimate of the model's generalization performance. This section discusses the importance of holdout data, the pr..."
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