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GeneXproTools Online Guide

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Last update: February 19, 2014

 

Mean Squared Error

The mean squared error (MSE) Ei of an individual model i is evaluated by the equation:

where P(ij) is the value predicted by the individual model i for record j (out of n records); and Tj is the target value for record j.

For a perfect fit, P(ij) = Tj and Ei = 0. So, the Ei index ranges from 0 to infinity, with 0 corresponding to the ideal.


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 Released February 19, 2014

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