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Last update: February 19, 2014
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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.
See Also:
Related Tutorials:
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