Mean Squared Error


Mean Squared Error (MSE)

Mean Squared Error Loss function#

Mean Squared Error, or sometimes called L2 Loss, is the most common Loss function in Machine Learning

If YHat is a vector of n predictions, and Y is the vector of observed values of the variable being predicted, then the within-sample MSE of the predictor is computed as

Mean Squared Error/Screen Shot 2017-12-26 at 05.56.09.png


Artificial Intelligence

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