This chapter discussed different ways of assessing the results of a model by using the Analysis and Evaluation nodes. You also began to learn how to use your models in the real world by learning how to score new data and how to export those predictions.
- Preface
- Introduction to Data Mining and Predictive Analytics
- The Basics of Using IBM SPSS Modeler
- Importing Data into Modeler
- Data Quality and Exploration
- Cleaning and Selecting Data
- Combining Data Files
- Deriving New Fields
- Looking for Relationships Between Fields
- Introduction to Modeling Options in IBM SPSS Modeler
- Decision Tree Models
- Model Assessment and Scoring
Summary
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