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

1. Which model was picked as the best model by SAS Enterprise Miner?
Response:

A) None of the above
B) Decision Tree
C) Decision Tree (3-way)
D) Regression

2. Look over the output from the Neural Network model. Which of the following statement(s) is (are) true?
Response:

A) The model has too few input variables.
B) The misclassification error for the test data is 0.154255.
C) The optimization for the model has not been completed.
D) All of the above

3. If the bank wanted to select the best model based on the models' overall performances on the validation data as measured by the average squared error, then the best model is which of the following?
Response:

A) Neural Network
B) Decision Tree
C) Decision Tree (3-way)
D) Regression

4. The importance of an input variable in predicting a target in an MLP-based neural network can be figured out by which of the following?
Response:

A) the highest absolute value of the parameter estimate between the input and any of the hidden neurons multiplied by the absolute value of the parameter estimate of the hidden neuron
B) the highest absolute value of the parameter estimate between the input and any of the hidden neurons
C) the average of the absolute values of parameter estimates between the input and all of the hidden neurons
D) none of the above

5. In segment 2, what percentage of GiftAvgCard36 values are between 6.6638 and 11.998?
Select one:
Response:

A) 13.39%
B) 48.59%
C) 47.82%
D) 14.00%

Solutions: