The SCORE statement scores the training data set by using the tree model that was trained by PROC HPSPLIT and outputs a SAS-data-set that contains the scored results. The output data set contains the ID variables that are specified in the ID statement, predictions, and decisions.
For each level of the target, a posterior probability variable is generated in addition to the final predicted level.