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| Section | Objectives |
|---|---|
| Topic 1: Model Building | - Association and sequence analysis - Classification and regression models - Clustering techniques |
| Topic 2: Data Preparation | - Handling missing values and outliers - Data integration and sampling techniques - Data cleaning and transformation in SPSS Modeler |
| Topic 3: Model Evaluation | - Model performance metrics - Validation techniques (train/test split, cross-validation) |
| Topic 4: Model Deployment | - Deployment considerations and automation - Scoring models in SPSS Modeler |
1. In the Aggregate node, when you click on Preview button, which statement is true?
A) The preview will always be before aggregation.
B) The preview will always be after aggregation.
C) The Aggregate node does not have a Preview option.
D) The preview will by default be before aggregation but that can be changed.
2. Which key items must be identified before a data mining project is started? (Select all that apply)
A) Available data
B) Data quality problem
C) Available expertise on the data and business
D) A business problem or question
3. Which Model nodes can have a categorical target field? (Select all that apply)
A) Linear node
B) Discriminant node
C) Neutral Net node
D) C & R Tree node
4. In the Gains Chart displayed below, what does the $BEST-CHURNED line represent?
A) The best current model to predict the field CHURNED
B) None of the above
C) The best model for cases in the training partition to predict the field CHURNED
D) The theoretically best model to predict the field CHUREND
5. A histogram chart is used to graph fields of which measurement type?
A) Nominal
B) Continuous
C) Ordinal
D) Flag
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: B,D | Question # 3 Answer: A,B | Question # 4 Answer: C | Question # 5 Answer: B |
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