Root Mean Squared Error (RMSE): Revision history

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18 March 2023

  • curprev 13:1313:13, 18 March 2023‎ Walle talk contribs‎ 2,635 bytes +2,635‎ Created page with "{{see also|Machine learning terms}} ==Introduction== In the field of machine learning, '''Root Mean Squared Error (RMSE)''' is a widely used metric for evaluating the performance of regression models. It quantifies the difference between the predicted values and the true values by calculating the square root of the average of the squared differences. The RMSE is particularly useful because it gives a measure of error that is interpretable in the same unit as the original..."
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