Stay in Touch
Not sure what course to take?
Speak with an expert curriculum consultant at 800-333-7660 or send an e-mail.Submit Your Course Requests
Want this course at another location or on a different date? Let us know your course needs.On-site Pricing
Course fee and EPTO/APTO units differ for on-site training.
Decision Tree Modeling
|
Duration: 2.0 days Course fee: $1,450 EPTO units: 2.8 CEUs: 1.2 | ||
 |
This outline is provisional and subject to change.
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
Expand All
Collapse All
Print version
Prerequisites
Before attending this course, you should
- have an understanding of basic statistical concepts. You can gain this knowledge from the Statistics I: Introduction to ANOVA, Regression, and Logistic Regression course.
- be familiar with SAS Enterprise Miner software. You can gain this knowledge from the Predictive Modeling Using SAS Enterprise Miner 5.1 or Applied Analytics Using SAS Enterprise Miner 5 course.
Course Contents
Tree-Structured Models
- classification trees
- regression trees
- binary and multiway splits
- splitting criteria
- missing values
- p-value adjustments
- profit/loss considerations
- class probability trees
- cross-validation
- data exploration
- dimension reduction
- imputation
- bagging
- arcing
- gradiant boosting
Software
This course addresses SAS Enterprise Miner.
Course Materials
Students receive a hardcopy of the course notes and, in some courses, can choose to take home a copy of the course data.
Share Your Thoughts
Are there additional topics you'd like for this course to address?
Would you like for this course to be offered at another training facility?
Let us know by adding to our Interest List.
This page was created using SAS software.