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Last update: February 19, 2014
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Bounded Rank Fitness Function
The Bounded Rank fitness function is based on the rank measure.
It allows you to set boundaries for the model output,
which the learning algorithm will try to approach.
The Bounded Rank 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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