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| Section | Objectives |
|---|---|
| Topic 1: Model Evaluation and Deployment | - Deployment of predictive models - Model comparison and selection - Model validation and performance evaluation |
| Topic 2: Data Preparation and Transformation | - Data transformation and feature engineering - Field derivation and manipulation techniques - Data cleaning and handling missing values |
| Topic 3: SPSS Modeler Fundamentals | - Data stream and project structure - Introduction to IBM SPSS Modeler environment - Data import and preparation basics |
| Topic 4: Advanced SPSS Modeler Features | - Stream optimization and performance tuning - Automated modeling (Auto Classifier, Auto Numeric) - Integration with IBM analytics ecosystem |
| Topic 5: Model Building Techniques | - Association and sequence modeling - Classification and regression models - Clustering and segmentation methods |
Question 1
Which key items must be identified before a data mining project is started? (Choose three.)
A. Available expertise on the data and business
B. A business problem or question
C. Available data
D. Data quality problems
Question 2
As a default, the Evaluation node provides a graph of the first category of your target field. To change the category, you need to modify which section?
A. Include business rule
B. User defined hit
C. Export results to file
D. User defined score
Question 3
In order to make Decision Tree models more general, avoid overfitting, and make the trees less complex, what would you need to change in the dialog below? (Choose two.)
A. Increase the pruning severity.
B. Decrease the pruning severity.
C. Increase the Minimum records per child branch.
D. Decrease the Minimum records per child branch.
Question 4
A histogram chart is used to graph fields of which measurement type?
A. Nominal
B. Flag
C. Continuous
D. Ordinal
Question 5
The Select node shown below performs which operation?
A. Selects respondents whose incomes are greater than or equal to 20,000 and less than or equal to 50,000.
B. Selects respondents whose incomes are between 20,000 and 50,000.
C. Selects respondents whose incomes are exactly 20,000 or 50,000.
D. The expression is incorrect.
Solutions:
| Question 1 Answer: A,B,C | Question 2 Answer: B | Question 3 Answer: A,C | Question 4 Answer: C | Question 5 Answer: D |
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