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SPSS IBMSPSSMPRO Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Model Evaluation | - Model performance metrics - Validation techniques (train/test split, cross-validation) |
| Topic 2: Data Preparation | - Data integration and sampling techniques - Handling missing values and outliers - Data cleaning and transformation in SPSS Modeler |
| Topic 3: Model Deployment | - Scoring models in SPSS Modeler - Deployment considerations and automation |
| Topic 4: Model Building | - Clustering techniques - Association and sequence analysis - Classification and regression models |
SPSS IBM SPSS Modeler Professional Certification Sample Questions:
What are the advantages of pruning Decision Tree models? (Select all that apply.)
- A. Pruning can improve the generalization of the tree.
- B. Pruning in make the tree easier to interpret.
- C. Pruning can help simplify the tree.
- D. Pruning can increase the accuracy of the tree.
The set Random seed option on the sample node is required if you want to draw the same random sample with the same records more than once.
- A. True
- B. 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
Which Model nodes can have a categorical target field? (Select all that apply)
- A. C & R Tree node
- B. Discriminant node
- C. Neutral Net node
- D. Linear node
Which mode is not available In the Auto Numeric node?
- A. Logistic
- B. Regression
- C. Neural Net
- D. Chaid
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