Modeling and Multivariate Methods - SAS

Chapter 13 Recursively Partitioning Data 333
Partition Method
Early Stopping is checked to perform early stopping. If checked, the boosting process stops fitting
additional stages if adding more stages doesn’t improve the validation statistic. If not checked, the
boosting process continues until the specified number of stages is reached. This option is available only
if validation is used.
Multiple Fits over splits and learning rate is checked to create a boosted tree for every combination of
Splits per Tree and Learning Rate. The lower ends of the combinations are specified by the Splits per
Tree and Learning Rate options. The upper ends of the combinations are specified by the following
options:
Max Splits Per Tree is the upper end for Splits per Tree.
Max Learning Rate is the upper end for Learning Rate.
Boosted Tree Report
The Boosted Tree report is shown in Figure 13.13.
Figure 13.13 Boosted Tree Report
The results on the report are described here:
Model Validation - Set Summaries provides fit statistics for all the models fit if you selected the
Multiple Splits option on the options window.
Specifications
provides information on the partitioning process.
Overall Statistics
provides fit statistics for both the training and validation sets.