Squared loss: Revision history

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18 March 2023

  • curprev 13:2913:29, 18 March 2023‎ Walle talk contribs‎ 2,824 bytes +2,824‎ Created page with "{{see also|Machine learning terms}} ==Squared Loss== Squared loss, also known as mean squared error (MSE) or L2 loss, is a widely used loss function in machine learning and statistical modeling for measuring the discrepancy between predicted values and true values in a given dataset. The objective of any machine learning model is to minimize the loss function, which in turn improves the model's prediction accuracy. ===Definition=== Formally, the squared loss..."
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