Scoring New Data

All the predictive modeling nodes enable you to score the training, validation, test, and scoring data sets in conjunction with training. To score other data sets, especially new data not available at the time of training, use the Score node.
Each predictive modeling node generates SAS DATA step code for computing predicted values. The Score node accumulates the code generated by each modeling node that precedes the Score node in the flow diagram. The Score node then packages all the scoring code into a DATA step that can be executed to score new data sets. The scoring code can be saved for use in the SAS System outside of SAS Enterprise Miner.
The Score node also handles:
  • code for transformations generated by the Transform Variables node
  • code for missing-value imputation generated by the Impute node
  • code for cluster assignment generated by the Cluster node
  • code for decision processing.
You can use a SAS Code node following the Score node to do additional processing of the scored data. For example, if you used the Model Comparison node to choose a decision threshold, you could apply the threshold in a SAS Code node.