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最新的 SAS Institute SAS A00-255 免費考試真題:
1. Perform these tasks in SAS Enterprise Miner:
- Add a Decision Tree node after the Impute node with TARGET as the dependent variable and all other input variables as independent variables (main effects only). Configure the decision tree to use 1 for Number of Surrogate Rules and Largest for Method in Subtree. Do not change any other property of the Decision Tree node.
- Add another Neural Network node after the decision tree with TARGET as the dependent variable and all other input variables as independent variables (main effects only). Configure the Neural Network model to use Average Error for Model Selection Criterion. Do not change any other property for the Neural Network node. Run the process flow.
Which of the following variables was used in the decision tree model?
Response:
A) IMP_TLSatCnt
B) TLDel3060Cnt24
C) InqFinanceCnt24.
D) TLDel90Cnt24
2. Perform this task using SAS Enterprise Miner:
Continue to use the same diagram. Use an Ensemble node (configure using default options) in SAS Enterprise Miner to combine all four models.
Compare the performance of the ensemble and the four models using average squared error in the validation data. Which is the best model in this comparison?
Response:
A) Regression
B) Neural Network
C) Ensemble
D) Decision Tree
3. 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 decision tree model, what is the importance of the variable InqCnt06?
Response:
A) 0.45 or higher
B) less than 0.149999
C) 0.15-0.299999
D) 0.30-0.449999
4. What is the purpose of the Kass (Bonferroni) adjustment in the decision tree split-search algorithm?
Select one:
Response:
A) To ensure that the choice of split is not influenced by input measurement scale.
B) To ensure a non-negative logworth value.
C) To give categorical inputs a greater chance to be used the split.
D) To reduce the number of surrogate splitting rules.
5. In SAS Enterprise Miner's Decision Tree node, which of the following types of target variable can be used?
Response:
A) interval
B) all of the above
C) binary
D) nominal with any number of categories
問題與答案:
| 問題 #1 答案: B | 問題 #2 答案: C | 問題 #3 答案: D | 問題 #4 答案: A | 問題 #5 答案: B |


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