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SASInstitute A00-255 Certification Exam is designed for professionals who aspire to become experts in predictive modeling using SAS Enterprise Miner 14. SAS Enterprise Miner is a powerful tool that enables businesses to identify patterns and relationships within their data, helping them make informed decisions and improve their bottom line. SAS Predictive Modeling Using SAS Enterprise Miner 14 certification exam validates the candidate's ability to use SAS Enterprise Miner 14 to build predictive models, perform data exploration and manipulation, and evaluate model performance.
NEW QUESTION # 58
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:
Answer: C
NEW QUESTION # 59
Which method of input selection for regression analysis evaluates the statistical significance of the total model to see if it improves on the baseline as the variables are added and once no further improvement is made then variable selection ends?
Select one:
Response:
Answer: A
NEW QUESTION # 60
The number of hidden layers in this Neural Network model is which of the following?
Response:
Answer: B
NEW QUESTION # 61
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:
Answer: C
NEW QUESTION # 62
If you only consider observations for which TARGET=0, what percentage of such observations has BanruptcyInd=1?
Response:
Answer: C
NEW QUESTION # 63
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