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Validation loss: Difference between revisions
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..."
(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...") |
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