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

1. Transformation of input variables to make their distributions more symmetric will likely have what impact in a logistic regression?
Select one:
Response:

A) decrease the performance of logistic regression
B) create convergence problems in maximum likelihood estimation
C) neither increase nor decrease the performance of logistic regression
D) increase the performance of logistic regression

2. A separate sample has been taken such that the target distribution in the separate sample is different from the target distribution in the original sample.
What should be adjusted?
Select one:
Response:

A) lift
B) confidence intervals
C) specificity
D) sensitivity

3. 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) none of the above
B) the average of the absolute values of parameter estimates between the input and all of the hidden neurons
C) the highest absolute value of the parameter estimate between the input and any of the hidden neurons
D) 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

4. Impute the missing values for the variable TLSum using the Tree method. What is the mean of the new variable (with the imputed values)?
Response:

A) less than 19,999.99
B) 40,000 or higher
C) 30,000-39,999.99
D) 20,000-29,999.99

5. The number of hidden layers in this Neural Network model is which of the following?
Response:

A) 3
B) 4 or more
C) 1
D) 2

Solutions: