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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Pattern Analysis | 10–15% | - Interpret pattern discovery results - Identify clusters and segments |
| Topic 2: Data Sources | 20–25% | - Explore and assess data sources - Create data sources from SAS tables - Modify and prepare source data for modeling |
| Topic 3: Building Predictive Models | 35–40% | - Build models using decision trees - Build models using neural networks - Build models using regression techniques - Understand predictive modeling concepts |
| Topic 4: Predictive Model Assessment and Implementation | 25–30% | - Adjust for oversampling and sampling methods - Score and deploy models - Apply appropriate fit statistics - Evaluate performance via profit/loss and comparison |
1. 1. Create a project named Insurance, with a diagram named Explore.
2. Create the data source, DEVELOP, in SAS Enterprise Miner. DEVELOP is in the directory c:\workshop\Practice.
3. Set the role of all variables to Input, with the exception of the Target variable, Ins (1= has insurance, 0= does not have insurance).
4. Set the measurement level for the Target variable, Ins, to Binary.
5. Ensure that Branch and Res are the only variables with the measurement level of Nominal.
6. All other variables should be set to Interval or Binary.
7. Make sure that the default sampling method is random and that the seed is 12345.
The variable Branch has how many levels?
Response:
A) 47
B) 12
C) 19
D) 8
2. An analyst is performing a market basket analysis (affinity analysis) on the purchase of Shaving Cream and Seltzer Water. The purchase data from a set of 250 customers is shown below:
What is the confidence of the rule "Shaving Cream implies Seltzer Water"? You may use a calculator for this question. On the certification exam, an on-screen calculator is provided for you.
Select one:
Response:
A) 57%
B) 67%
C) 60%
D) 40%
3. Which of the following is not a good reason to"regularize" input distributions using a simple transformation?
Response:
A) Regression models are sensitive to extreme or outlying values in the input space.
B) When you perform regression, inputs with highly skewed or highly kurtotic distributions can be selected over inputs that would yield better overall predictions.
C) Another benefit is ease in model interpretation.
D) One benefit is improved model performance.
4. The number of hidden layers in this Neural Network model is which of the following?
Response:
A) 4 or more
B) 1
C) 3
D) 2
5. For the variable InqTimeLast, which term best describes the shape of its distribution?
Response:
A) left skewed
B) symmetric
C) right skewed
D) bimodal
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: A | Question # 3 Answer: C | Question # 4 Answer: B | Question # 5 Answer: C |
SAS Predictive Modeling Using SAS Enterprise Miner 14
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