The sklearn.model_selection.LeaveOneGroupOut is a utility class in the Python scikit-learn library that provides a cross-validation strategy for evaluating machine learning models. It splits the dataset into training and testing sets by leaving out one specific group at a time. This is useful when dealing with grouped or clustered data, where instances within the same group may have dependencies or similarities. By leaving out one group at a time, this strategy helps to assess the model's performance on unseen group instances and can provide insights into its generalizability.
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