Analyzing GeneXproTools Models Statistically

Classification Error
 
The classification error Ei of an individual program i depends on the number of samples incorrectly classified (false positives plus false negatives) and is evaluated by the formula:

where f is the number of sample cases incorrectly classified, and n is the total number of sample cases.

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


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