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New A00-255 Test Pass4sure & Practical A00-255 Information

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SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions (Q44-Q49):

NEW QUESTION # 44
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 distribution of the predicted probabilities of TARGET=0 in the scoring data is approximately which of the following?
Response:

A. normal
B. left skewed
C. bimodal
D. right skewed

Answer: B

NEW QUESTION # 45
Suppose your input variables have missing values. Before running a decision tree with these input variables, you should do which of the following?
Response:

A. impute only class variables using the Tree method but do not impute the interval variables
B. impute all missing values using the Tree method
C. not impute any missing values because trees can handle them.
D. impute only interval variables using the Tree method but do not impute the class variables

Answer: C

NEW QUESTION # 46
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 percentage of all observations is being correctly predicted in the test data set by the decision tree?
Response:

A. 16.8874%
B. 83.1126%
C. 85.2222%
D. 84.5212%

Answer: B

NEW QUESTION # 47
For an ordinal variable with L levels, the number of possible splits in a decision tree is which of the following?
Response:

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

Answer: B

NEW QUESTION # 48
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.
In the training data set, consider only those observations for which the actual value of the target variable equals 1, TARGET=1. What percentage of these observations is being correctly predicted by the decision tree?
Response:

A. 0
B. 14.6216
C. 66.6667
D. 80.3571

Answer: A

NEW QUESTION # 49
......

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