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Last update: February 19, 2014
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Bounded ROC Fitness Function
The Bounded ROC fitness function
is based on the
area under the ROC curve (AUC ROC).
It allows you to set boundaries for the model output,
which the learning algorithms will try to approach.
The Bounded 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.
See Also:
Related Tutorials:
Related Videos:
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