Out-of-sample data are data that were not used to learn a model. Holdout evaluation uses out-of-sample data for evaluation purposes.
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(2017). Out-of-Sample Data. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning and Data Mining. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7687-1_620
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