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Last update: February 19, 2014
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False Balance Fitness Function
The False Balance fitness function
explores the idea of a balance between the
false positives and
false negatives.
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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