A00-255試験無料問題集「SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 認定」

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What is the purpose of the Kass (Bonferroni) adjustment in the decision tree split-search algorithm?
Select one:
Response:

The Chi Square statistic for measuring association between the variables BanruptcyInd and TARGET is which of the following?
Response:

Which statement describes the Decision Tree Split Search mechanism for categorical inputs?
Select one:
Response:

The selected model, based on the misclassification rate for the validation data, has how many input variables?
Response:

How many unique indicator variables were created during imputation?
Response:

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:

-> 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).
- Allow for 1 substitute rule in case the variable for the primary splitting rule is missing.
- Disable pruning for the decision tree.
-> 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.
-> Run the process flow.
What is the number of input variables being used by the Neural Network Model?
Enter your numeric answer in the space below:
Response:

Consider a binary target variable. Assume Accuracy is the desired assessment measure. Accuracy is not an option in the Decision Tree node. Which assessment measure can you use as a proxy for accuracy?
Select one:
Response:

What is the average squared error in the training data?
Response:

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