Analyzing GeneXproTools Models Statistically

Mean Squared Error
 
The mean squared error Ei of an individual program i is evaluated by the equation:

where P(ij) is the value predicted by the individual program i for sample case j (out of n sample cases); and Tj is the target value for sample case 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.

To evaluate the MSE of your model both on the training and testing sets, you just have to go to the Results Panel after a run.


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