Getting Started with SAS Enterprise Miner 14.1

8. Close the Results window.

Partition the Data

In data mining, a strategy for assessing the quality of model generalization is to partition

the data source. A portion of the data, called the training data set, is used for preliminary

model fitting. The rest is reserved for empirical validation and is often split into two

parts: validation data and test data. The validation data set is used to prevent a modeling

node from overfitting the training data and to compare models. The test data set is used

for a final assessment of the model.

Note: In SAS Enterprise Miner, the default data partitioning method for class target

variables is to stratify ...