  The possibility of obtaining symbolic expressions for cosmic backreaction is
explored through a case study of so-called 2-region models. By using the
publicly available symbolic regression algorithm AI Feynman, it is shown that
the kinematical backreaction from a single 2-region model can be well described
as a function of the mean redshift (or, equivalently, the volume averaged scale
factor). A single expression depending on the redshift/scale factor as well as
a model parameter, $f$, that can accurately describe the backreaction for a
significant range of models is naturally more complicated but is also achieved
with percent-level accuracy. \newline\indent Data sets of redshift drift in the
2-region models are also considered. Again utilizing AI Feynman, expressions
for the redshift drift are found. In particular, an expression for the
difference between the mean redshift drift and the drift of the mean redshift
in terms of the kinematical backreaction is easily obtained for a single
2-region model. An accurate symbolic expression that describes this difference
for an array of 2-region models is achieved by using the redshift as a feature
instead of the kinematical backreaction.
