Question

Define mean square error and explain in the implications of mse in model selection

Answer 1

Mean squared error. ... MSE is a risk function, corresponding to the expected value of the squared errorloss. The fact that MSE is almost always strictly positive (and not zero) is because of randomness or because the estimator does not account for information that could produce a more accurate estimate.

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