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SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions (Q32-Q37):

NEW QUESTION # 32
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

Answer: B

NEW QUESTION # 33
If you only consider observations for which TARGET=0, what percentage of such observations has BanruptcyInd=1?
Response:

A. 80% or higher
B. between 50%-79.99%
C. between 15%-49.99%
D. less than 15%

Answer: D

NEW QUESTION # 34
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. none of the above
C. the average of the absolute values of parameter estimates between the input and all of the hidden neurons
D. the highest absolute value of the parameter estimate between the input and any of the hidden neurons

Answer: B

NEW QUESTION # 35
Open the diagram labeled Practice A within the project labeled Practice A. Perform the following in SAS Enterprise Miner:

1. Set the Clustering method to Average.
2. Run the Cluster node.
What is the Cubic Clustering Criterion statistic for this clustering?
Response:

A. 5862.76
B. 67409.93
C. 5.00
D. 14.69

Answer: D

NEW QUESTION # 36
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. 20,000-29,999.99
B. less than 19,999.99
C. 30,000-39,999.99
D. 40,000 or higher

Answer: B

NEW QUESTION # 37
......

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New A00-255 Test Sims & Clearer A00-255 Explanation

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SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions (Q32-Q37):

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