The Bounded Quantile Spread fitness function is based on the quantile spread.
It allows you to set boundaries for the model output,
which the learning algorithm will try to approach.
The Bounded Quantile Spread fitness function can be combined
with a cost matrix in order to impose specific constraints on the
In addition, the evolvable
logistic threshold, which is intrinsic to the
logistic regression model, can be adjusted by changing the number of bins.