Walle
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..."
