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Question 1:
Refer to the ROC curve:
As you move along the curve, what changes?
A. The priors in the population
B. The true negative rate in the population
C. The proportion of events in the training data
D. The probability cutoff for scoring
Correct Answer: D
Question 2:
When mean imputation is performed on data after the data is partitioned for honest assessment, what is the most appropriate method for handling the mean imputation?
A. The sample means from the validation data set are applied to the training and test data sets.
B. The sample means from the training data set are applied to the validation and test data sets.
C. The sample means from the test data set are applied to the training and validation data sets.
D. The sample means from each partition of the data are applied to their own partition.
Correct Answer: B
Question 3:
In partitioning data for model assessment, which sampling methods are acceptable? (Choose two.)
A. Simple random sampling without replacement
B. Simple random sampling with replacement
C. Stratified random sampling without replacement
D. Sequential random sampling with replacement
Correct Answer: AC
Question 4:
Refer to the exhibit:
The plots represent two models, A and B, being fit to the same two data sets, training and validation.
Model A is 90.5% accurate at distinguishing blue from red on the training data and 75.5% accurate at doing the same on validation data. Model B is 83% accurate at distinguishing blue from red on the training data and 78.3% accurate at
doing the same on the validation data.
Which of the two models should be selected and why?
A. Model A. It is more complex with a higher accuracy than model B on training data.
B. Model A. It performs better on the boundary for the training data.
C. Model B. It is more complex with a higher accuracy than model A on validation data.
D. Model B. It is simpler with a higher accuracy than model A on validation data.
Correct Answer: D
Question 5:
Assume a $10 cost for soliciting a non-responder and a $200 profit for soliciting a responder. The logistic regression model gives a probability score named P_R on a SAS data set called VALID. The VALID data set contains the responder variable Pinch, a 1/0 variable coded as 1 for responder. Customers will be solicited when their probability score is more than 0.05.
Which SAS program computes the profit for each customer in the data set VALID?
A. Option A
B. Option B
C. Option C
D. Option D
Correct Answer: A
A00-240 PDF DumpsA00-240 VCE DumpsA00-240 Exam Questions
Question 6:
In order to perform honest assessment on a predictive model, what is an acceptable division between training, validation, and testing data?
A. Training: 50% Validation: 0% Testing: 50%
B. Training: 100% Validation: 0% Testing: 0%
C. Training: 0% Validation: 100% Testing: 0%
D. Training: 50% Validation: 50% Testing: 0%
Correct Answer: D
Question 7:
Refer to the exhibit:
Based upon the comparative ROC plot for two competing models, which is the champion model and why?
A. Candidate 1, because the area outside the curve is greater
B. Candidate 2, because the area under the curve is greater
C. Candidate 1, because it is closer to the diagonal reference curve
D. Candidate 2, because it shows less over fit than Candidate 1
Correct Answer: B
Question 8:
A company has branch offices in eight regions. Customers within each region are classified as either “High Value” or “Medium Value” and are coded using the variable name VALUE. In the last year, the total amount of purchases per customer is used as the response variable.
Suppose there is a significant interaction between REGION and VALUE. What can you conclude?
A. More high value customers are found in some regions than others.
B. The difference between average purchases for medium and high value customers depends on the region.
C. Regions with higher average purchases have more high value customers.
D. Regions with higher average purchases have more medium value customers.
Correct Answer: B
Question 9:
This question will ask you to provide a missing option.
Complete the following syntax to test the homogeneity of variance assumption in the GLM procedure:
Means Region / =levene;
A. test
B. adjust
C. var
D. hovtest
Correct Answer: D
Question 10:
Customers were surveyed to assess their intent to purchase a product. An analyst divided the customers into groups defined by the company\’s pre-assigned market segments and tested for difference in the customers\’ average intent to purchase. The following is the output from the GLM procedure:
What percentage of customers\’ intent to purchase is explained by market segment? Click the calculator button to display a calculator if needed.
A. <0.01%
B. 35%
C. 65%
D. 76%
Correct Answer: D
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