In-set condition: Revision history

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18 March 2023

  • curprev 19:0219:02, 18 March 2023‎ Walle talk contribs‎ 2,994 bytes +2,994‎ Created page with "{{see also|Machine learning terms}} ==In-set Condition in Machine Learning== The in-set condition is a concept in the field of machine learning that refers to the circumstance in which the training data used to train a machine learning model is representative of the data distribution that the model will encounter during real-world applications. This concept is related to the generalization performance of a model, which refers to its ability to perform well on unseen..."
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