A measure of accuracy - MSE

• Mean squared error

  • MSE = E [ (X - Z)2 ]
  • Mean squared difference between estimate and true value
  • MSE = { E[X] - Z }2 + E{ [ X - E[X]]2 } or the bias squared plus the variance of the data (estimate, prediction)

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