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Mean Square Error Loss(L2 regularization)

tags: [AI/Regularization, ]

Tags

#AI/Regularization

Also called:

Mean Squared Error (MSE)
Least Squared Error (LSE)
L2 regularization
L2 Loss

Is used for Regression tasks, It tells you how close a regression line is to a set of data points.

Notes:

Calculating derivation is easier in MSE .
MSE is more sensitive to outliers due to using the square difference.