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Last update: February 19, 2014

 

Bounded Positive Correl Fitness Function

The Bounded Positive Correl fitness function is based on the correlation coefficient. It allows you to set boundaries for the model output, which the learning algorithms will try to approach.

The Bounded Positive Correl 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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 Released February 19, 2014

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