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SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions (Q41-Q46):

NEW QUESTION # 41
Perform these tasks in SAS Enterprise Miner:
- Add a Decision Tree node after the Impute node with TARGET as the dependent variable and all other input variables as independent variables (main effects only). Configure the decision tree to use 1 for Number of Surrogate Rules and Largest for Method in Subtree. Do not change any other property of the Decision Tree node.
- Add another Neural Network node after the decision tree with TARGET as the dependent variable and all other input variables as independent variables (main effects only). Configure the Neural Network model to use Average Error for Model Selection Criterion. Do not change any other property for the Neural Network node. Run the process flow.
The number of parameters (weights) estimated by the Neural Network model is in which of the following ranges?
Response:

A. 16 or more
B. 11-15
C. less than or equal to 5
D. 6-10

Answer: A

NEW QUESTION # 42
Perform these tasks in SAS Enterprise Miner:
* Add a Decision Tree node, as shown below. (Make sure you use only default options in the Decision Tree node.)

* Run the Decision Tree node.
What is the probability that TARGET=0 for ID=000355 in the training data?
Response:

A. 0.9220647773
B. 0.0658174098
C. 0.9341825902
D. 0.077935227

Answer: A

NEW QUESTION # 43
How many unique indicator variables were created during imputation?
Response:

A. 1-10
B. none
C. 11-20
D. 21 or higher

Answer: C

NEW QUESTION # 44
Refer to the exhibit:

The SAS data set credit_customers contains a numeric variable units_sold that holds only the values: 1, 2, 3, 4. Based on the settings provided in the Advanced Advisor Options, what will be the Role and Level of the units_sold variable when the credit_customers data set is created using Advanced Metadata Advisor in the Data Source Wizard?
Select one:
Response:

A. Role: IntervalLevel: Input
B. Role: InputLevel: Interval
C. Role: InputLevel: Nominal
D. Role: RejectedLevel: Nominal

Answer: C

NEW QUESTION # 45
Perform these tasks in SAS Enterprise Miner:
* Add a Decision Tree node, as shown below. (Make sure you use only default options in the Decision Tree node.)

* Run the Decision Tree node.
In the training data set, consider only those observations for which the actual value of the target variable equals 1, TARGET=1. What percentage of these observations is being correctly predicted by the decision tree?
Response:

A. 0
B. 14.6216
C. 66.6667
D. 80.3571

Answer: A

NEW QUESTION # 46
......

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