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SPSS IBMSPSSMPRO Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Model Deployment | - Scoring models in SPSS Modeler - Deployment considerations and automation |
| Topic 2: Model Building | - Association and sequence analysis - Classification and regression models - Clustering techniques |
| Topic 3: Model Evaluation | - Validation techniques (train/test split, cross-validation) - Model performance metrics |
| Topic 4: Data Preparation | - Data cleaning and transformation in SPSS Modeler - Data integration and sampling techniques - Handling missing values and outliers |
SPSS IBM SPSS Modeler Professional Certification Sample Questions:
When using the algorithm method to replace missing values in data audit output, which algorithm is used?
- A. C5.0
- B. C & RT
- C. Neural Net
- D. Cox Regression
Correct Answer: B 🗳️
Which statement is correct interpretation of the rule, "those that use less than or equal to
4.976 of LOCAL are predicted to be inVol "?
- A. This rule does not exist.
- B. The rule applies to 88 people and the confidence is 80.7%.
- C. This rule was accurate 88 times which was 80.7% of the time.
- D. The accuracy of this cannot be determined
Correct Answer: C 🗳️
Missing values can be specified in the Source node used to read the data or in the type node.
- A. True
- B. False
Correct Answer: A 🗳️
A Balance node cannot be generated from Distribution node output.
- A. True
- B. False
Correct Answer: A 🗳️
Which nodes can be used to replace missing data with valid values? [Select all that apply.)
- A. Filler node
- B. Data Audit node
- C. Filter node
- D. Distribution node
Correct Answer: A,B,C 🗳️
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