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| Section | Objectives |
|---|---|
| Topic 1: SPSS Modeler Fundamentals | - Data stream and project structure - Introduction to IBM SPSS Modeler environment - Data import and preparation basics |
| Topic 2: Model Evaluation and Deployment | - Deployment of predictive models - Model validation and performance evaluation - Model comparison and selection |
| Topic 3: Advanced SPSS Modeler Features | - Integration with IBM analytics ecosystem - Automated modeling (Auto Classifier, Auto Numeric) - Stream optimization and performance tuning |
| Topic 4: Model Building Techniques | - Classification and regression models - Clustering and segmentation methods - Association and sequence modeling |
| Topic 5: Data Preparation and Transformation | - Data transformation and feature engineering - Data cleaning and handling missing values - Field derivation and manipulation techniques |
1. True or false: a Database Export node can be used to write data to more than one database table in the same operation.
A) True
B) False
2. After using the Binning node and Optimal binning method on Debt to income ratio using Previously defaulted as the Supervisor Field. we observe in the Matrix table the following relationship between the binned field and Previously defaulted.
True or false: this relationship exists because optimal binning attempts to create bins so the relationship between the Supervisor field and the Binned field is maximized.
A) True
B) False
3. In the Regression node, which option uses all of the input fields in the model regardless of importance or significance?
A) Enter
B) Backwards
C) Stepwise
D) Forwards
4. Which Model nodes can have a categorical target field? (Choose three.)
A) C&R Tree node
B) Neural Net node
C) Discriminant node
D) Linear node
5. A histogram chart is used to graph fields of which measurement type?
A) Flag
B) Ordinal
C) Nominal
D) Continuous
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: A | Question # 3 Answer: A | Question # 4 Answer: A,B,C | Question # 5 Answer: D |
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