These example datasets are used in the Decision_Tree example for classification
and regressions across distributed datasets. The classification data is
partitioned vertically into three splits (33%, 50% and 17% of the data) with a
common identifier column, each owned by three different organizations. The
regression data is similarly partitioned vertically into two splits of 50%
owned by two different organizations.
