This course (formerly Predicting Continuous Targets Using IBM SPSS Modeler (v16)) provides an overview of how to use IBM SPSS Modeler to predict a target field that describes numeric values. Students will be exposed to rule induction models such as CHAID and C&R Tree. They will also be introduced to traditional statistical models such as Linear Regression. Machine learning models will also be presented. Business use case examples include: predicting the length of subscription (for newspapers, telecommunication, job length, and so forth) and predicting claim amount (insurance).
IBM SPSS Modeler Analysts who have completed the Introduction to IBM SPSS Modeler and Data Mining course who want to become familiar with the modeling techniques available in IBM SPSS Modeler to predict a continuous target.
Please refer to course overview.
Experience using IBM SPSS Modeler including familiarity with the Modeler environment, creating streams, reading data files, exploring data, setting the unit of analysis, combining datasets, deriving and reclassifying fields, and a basic knowledge of modeling.
Prior completion of Introduction to IBM SPSS Modeler and Data Science (v18.1) is recommended.
1: Introduction to predicting continuous targets
List three modeling objectives
List two business questions that involve predicting continuous targets
Explain the concept of field measurement level and its implications for selecting a modeling technique
List three types of models to predict continuous targets
Determine the classification model to use
2: Building decision trees interactively
Explain how CHAID grows a tree
Explain how C&R Tree grows a tree
Build CHAID and C&R Tree models interactively
Evaluate models for continuous targets
Use the model nugget to score records
3: Building your tree directly
Explain the difference between CHAID and Exhaustive CHAID
If you need training for 3 or more people, you should ask us about onsite training. Putting aside the obvious location benefit, content can be customised to better meet your business objectives and more can be covered than in a public classroom. It's a cost effective option.
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