Reliable Test A00-255 Test - A00-255 Exam Success

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SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions (Q78-Q83):

NEW QUESTION # 78
Refer to the exhibit:

What would be the decision threshold (probability cutoff) generated for this decision matrix. You may use a calculator for this question. On the certification exam, an on-screen calculator is provided for you.
Select one:
Response:

A. 0.82
B. 0.27
C. 0.21
D. 0.18

Answer: D

NEW QUESTION # 79
For the variable TLCnt24, apply a Max Normal transformation. What transformation was selected by SAS Enterprise Miner?
Response:

A. Log
B. Square Root
C. Exponential
D. Square

Answer: B

NEW QUESTION # 80
Which of the following is not true about results produced by the Regression node?
Response:

A. Variable Summary information identifies the roles of variables used by the Regression node.
B. Model Information provides you with information that includes the number of target categories and the number of model parameters.
C. Fit Statistics can provide information that affects decision predictions, but does not affect estimate predictions.
D. Type 3 Analysis of Effects provides you with information about the number of parameters that each input contributes to the model.

Answer: C

NEW QUESTION # 81
Perform these tasks in SAS Enterprise Miner:
*Continue to use the same diagram. Define and create the data set CREDIT_SCORE for scoring. The variables (their roles and measurement levels) in the CREDIT_SCORE data should be set as identical to those in the CREDIT dat a. The only exception is that the scoring data does not have a TARGET variable.
* Find the best model out of Decision Tree, Decision Tree (3-way), Regression, and Neural Network as defined by each of the four model's overall performance in the validation data measured by average squared error. Now, use this best model to score the CREDIT_SCORE data.
CREDIT SCORE:

The percentage of TARGET=1 as predicted by the best model on the scoring data is in which of the following ranges?
Response:

A. under 4.99%
B. 7% or higher
C. 6%-6.99%
D. 5%-5.99%

Answer: A

NEW QUESTION # 82
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. 14.69
C. 67409.93
D. 5.00

Answer: B

NEW QUESTION # 83
......

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Reliable Test A00-255 Test - A00-255 Exam Success

Free PDF SASInstitute - Pass-Sure A00-255 - Reliable Test SAS Predictive Modeling Using SAS Enterprise Miner 14 Test

SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions (Q78-Q83):

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