Validation loss: Revision history

17 March 2023

• curprev 19:5919:59, 17 March 2023‎ Alpha5 talk contribs‎ m 3,835 bytes +25‎ Text replacement - "Category:Machine learning terms" to "Category:Machine learning terms Category:not updated"

22 February 2023

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• curprev 13:2813:28, 22 February 2023‎ Alpha5 talk contribs‎ 4,942 bytes +4,942‎ Created page with "{{see also|Machine learning terms}} ===Introduction== Validation loss in machine learning is a widely used metric to gauge the performance of models. It measures how well they can generalize their predictions to new data sets. In this article, we'll define validation loss and discuss its application to evaluating machine learning models. ==What is Validation Loss?== Validation loss is a metric that measures the performance of a machine learning model on a validation set..."