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| Section | Objectives |
|---|---|
| Topic 1: Model Building Techniques | - Classification and regression models - Clustering and segmentation methods - Association and sequence modeling |
| Topic 2: SPSS Modeler Fundamentals | - Data stream and project structure - Data import and preparation basics - Introduction to IBM SPSS Modeler environment |
| Topic 3: Data Preparation and Transformation | - Data cleaning and handling missing values - Data transformation and feature engineering - Field derivation and manipulation techniques |
| Topic 4: Model Evaluation and Deployment | - Model comparison and selection - Deployment of predictive models - Model validation and performance evaluation |
| Topic 5: Advanced SPSS Modeler Features | - Stream optimization and performance tuning - Automated modeling (Auto Classifier, Auto Numeric) - Integration with IBM analytics ecosystem |
1. Assume you have two data files: a personnel file with information about employees and a second file with information about performance categories. You will use IBM SPSS Modeler to merge the files together using performance category as the key. However, there are inconsistencies in the category keys used in both the personnel file and the performance file. In order to merge the files together without losing information from either the personnel file or the performance category file, you would use:
A) An inner join.
B) A partial outer join.
C) An anti-join.
D) A full outer join.
2. Which Model nodes can have a categorical target field? (Choose three.)
A) C&R Tree node
B) Discriminant node
C) Neural Net node
D) Linear node
3. A histogram chart is used to graph fields of which measurement type?
A) Flag
B) Nominal
C) Ordinal
D) Continuous
4. Generally speaking, to modify values in columns of a working data file, you would use nodes from which palette or menu group?
A) Field Ops
B) Record Ops
C) Export
D) Sources
5. Which of the following is the biggest advantage of using a data cache?
A) Creating reports or doing other analyses with other software
B) Applying modifications to new data more easily
C) Integrating the modified data with the original data source
D) Using the prepared data file more efficiently
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: A,B,C | Question # 3 Answer: D | Question # 4 Answer: A | Question # 5 Answer: D |
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