There is a new version of this course. Please see Decision Tree Modeling.
This course covers tree-structured predictive models and the methodology for growing, pruning, and assessing decision trees. In addition, this course discusses many of the auxiliary uses of trees such as exploratory data analysis, dimension reduction, and missing value imputation.
Learn how to
- build tree-structured models including classification trees and regression trees
- use the methodology for growing, pruning, and assessing decision trees
- use decision trees for exploratory data analysis, dimension reduction, and missing value imputation.
Who should attend
Predictive modelers and data analysts who want to build decision trees using SAS Enterprise Miner software
Formats available | Standard duration | | |
Classroom: |
2.0 days | | |
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Before attending this course, you should
This course addresses SAS Enterprise Miner software.