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SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions:

1. 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) 0.0658174098
B) 0.9341825902
C) 0.9220647773
D) 0.077935227

2. For the variable InqCnt06, replace all values over 10.1 with the value 10. How many values are replaced?
Response:

A) 150-199
B) 100-149
C) 0-99
D) 200 or higher

3. How many hidden layers are generally needed in an MLP-based neural network to capture a discontinuous relationship between inputs and target?
Response:

A) three or more hidden layers
B) two hidden layers
C) one hidden layer
D) no hidden layer, direct connection between inputs and output is preferred

4. 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.
In the validation data, the lift corresponding to the fourth decile is in which of the following ranges?
Response:

A) 1.75 or more
B) 1.5-1.74999
C) 1.25-.49999
D) 0-1.24999

5. For an ordinal variable with L levels, the number of possible splits in a decision tree is which of the following?
Response:

A) (L-1)/1
B) 2L-1-1
C) 2L-1
D) 2L

Solutions: