Mock A00-485 Exam, A00-485 Valid Exam Practice
Mock A00-485 Exam, A00-485 Valid Exam Practice
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Tags: Mock A00-485 Exam, A00-485 Valid Exam Practice, Pdf A00-485 Format, Exam A00-485 Reviews, A00-485 Prepaway Dumps
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SASInstitute Modeling Using SAS Visual Statistics Sample Questions (Q65-Q70):
NEW QUESTION # 65
What is one potential disadvantage of excessively deep decision trees?
- A. Overfitting to the training data
- B. Faster prediction times
- C. Greater stability in the model
- D. Increased interpretability
Answer: A
NEW QUESTION # 66
Refer to the exhibit:
Prior to performing a decision tree analysis, you need to assess the default Values of Classification and Model Type Properties for Sale Amount. The variable represents product purchase amounts from an organization's e-commerce website.
How do you want the decision tree algorithm to treat this variable?
- A. Classification = Measure & Model Type = Continuous
- B. Classification = Category & Model Type = Continuous
- C. Classification = Measure & Model Type = Discrete
- D. Classification = Category & Model Type = Discrete
Answer: A
NEW QUESTION # 67
In linear regression, what does a high p-value for a predictor variable suggest?
- A. The predictor is not relevant for the model.
- B. The predictor is a categorical variable.
- C. The predictor has a strong linear relationship with the response.
- D. The predictor is highly significant for the model.
Answer: A
NEW QUESTION # 68
During cluster creation, if the Variable Standardization option is selected, where in SAS Visual Statistics can you view the standardization formula?
- A. cluster summary table
- B. cluster matrix plot
- C. score code
- D. parallel coordinates plot
Answer: C
NEW QUESTION # 69
You want to build a model that predicts whether a customer will default on a loan assuming an underlying binomial distribution.
Which model within SAS Visual Statistics would you use?
- A. generalized linear model using the binomial distribution and the log link function
- B. logistic regression model using the Logit link function
- C. logistic regression model using the Tobit link function
- D. logistic regression model using the Probit link function
Answer: B
NEW QUESTION # 70
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