최신 A00-255 무료덤프 - SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14
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:
Response:
정답: D
If we were to add a Transformation node, what would be the default transformation for interval inputs for the present scenario?
Response:
Response:
정답: D
Which statement describes the Decision Tree Split Search mechanism for categorical inputs?
Select one:
Response:
Select one:
Response:
정답: D
Refer to the exhibit:
When the Explore button is selected in the graphic, what information will be displayed?
Select one:
Response:
When the Explore button is selected in the graphic, what information will be displayed?
Select one:
Response:
정답: C
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.
Now suppose that the bank expects to make a profit of $200 USD when TARGET=1, but it expects to lose $25 USD when TARGET=0. Incorporate the above scenario, change the assessment measure of the decision tree to average square error, and then run the Decision Tree node. What is the total profit for the test data set?
Response:
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.
Now suppose that the bank expects to make a profit of $200 USD when TARGET=1, but it expects to lose $25 USD when TARGET=0. Incorporate the above scenario, change the assessment measure of the decision tree to average square error, and then run the Decision Tree node. What is the total profit for the test data set?
Response:
정답: D
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:
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:
정답: D
Refer to the following profit matrix and confusion matrix for a campaign soliciting product purchases. The predicted variable is a binary outcome.
Based on the above tables, what is the average profit? You may use a calculator for this question. On the certification exam, an on-screen calculator is provided for you.
Select one:
Response:
Based on the above tables, what is the average profit? You may use a calculator for this question. On the certification exam, an on-screen calculator is provided for you.
Select one:
Response:
정답: C
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:
Select one:
Response:
정답: B
What is the variable worth of the PromCntCardAll variable in Segment 1?
Select one:
Response:
Select one:
Response:
정답: C