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    | Last update: February 19, 2014 
 
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                        | Symmetric ROC Fitness FunctionThe Symmetric ROC fitness function 
							is based on the 
							area under the ROC curve (AUC ROC), 
							giving equal weight to models symmetrically distributed around the 0.5 value of the AUC ROC. 
 The Symmetric ROC fitness function can be combined 
                            with a cost matrix in order to impose specific constraints on the solutions. 
                            In addition, the evolvable 
							logistic threshold, which is intrinsic to the 
                            logistic regression model, can be adjusted by changing the number of bins.
 
 
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