The Bounded R-square fitness function
is based on the
It allows you to set boundaries for the model output,
which the learning algorithms will try to approach.
The Bounded R-square 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.