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Last update: February 19, 2014
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Margin with Penalty Fitness Function
The Margin with Penalty fitness function
is a multi-objective function that optimizes the classifier margin,
using a system of penalties to favor classifiers with larger margins.
In addition, by choosing different
rounding thresholds,
different fitness functions can be created to explore different solution spaces.
The evolvable rounding thresholds include the ROC threshold, the logistic, class proportions, large margin, average, RMS, interdecile mean,
interquartile mean, midrange, midhinge, and trimean threshold. There are also
two kinds of fixed thresholds: the rounding threshold of the active model and
user defined thresholds.
See Also:
Related Tutorials:
Related Videos:
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