Analyzing GeneXproTools Models Statistically

Classification Accuracy
 
The classification accuracy Ai of an individual program i depends on the number of samples correctly classified (true positives plus true negatives) and is evaluated by the formula:

where t is the number of sample cases correctly classified, and n is the total number of sample cases.

During a run, GeneXproTools updates continuously the classification accuracy of the evolving models and plots it in a chart in the Run Panel.

And to evaluate the classification accuracy of your model on the testing data, after a run you just have to go to the Results Panel.


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