📚 node [[squared_loss|squared loss]]
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⥅ related node [[squared_hinge_loss]]
⥅ related node [[squared_loss]]
⥅ node [[squared_loss]] pulled by Agora
📓 garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/Squared_Loss.md by @KGBicheno

squared loss

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The loss function used in linear regression. (Also known as L2 Loss.) This function calculates the squares of the difference between a model's predicted value for a labeled example and the actual value of the label. Due to squaring, this loss function amplifies the influence of bad predictions. That is, squared loss reacts more strongly to outliers than L1 loss.
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