Partitioning strategy: Revision history

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21 March 2023

  • curprev 01:1001:10, 21 March 2023‎ Walle talk contribs‎ 3,220 bytes +3,220‎ Created page with "{{see also|Machine learning terms}} ==Partitioning Strategy in Machine Learning== In the field of machine learning, the partitioning strategy refers to the method of dividing a dataset into separate subsets to facilitate the training, validation, and testing of models. Partitioning plays a crucial role in ensuring the robustness, accuracy, and generalizability of the model when applied to real-world situations. This article explores the various partitioning strategie..."
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