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Last update: February 19, 2014
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ROC with MSE Fitness Function
The ROC with MSE fitness function
is a multi-objective function that combines
area under the ROC curve (AUC ROC) with the
Mean Squared Error (MSE).
The ROC with MSE fitness function can also be combined
with a cost matrix in order to impose specific constraints on the
solutions.
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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