an approach used for problems that can be set up as linear programs with the additional requirement that some or all of the decision recommendations be integer values
when some or all of the decision variables in an lp problem are restricted to assuming only integer values, the resulting problem is referred to as an
data used after a model is built to assess how well the model works given additional data.  data instances used to test models built with supervised learning.